Stochastic Volatility: Likelihood Inference And Comparison With Arch Models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

as

HTML HTML with abstract plain text plain text with abstract BibTeX RIS (EndNote, RefMan, ProCite) ReDIF JSON

Cited by:

1. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
2. Rui Luo & Weinan Zhang & Xiaojun Xu & Jun Wang, 2017. "A Neural Stochastic Volatility Model," Papers 1712.00504, arXiv.org, revised Dec 2018.
3. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
   • Frédérique BEC & Songlin ZENG, 2013. "Do Stock Returns Rebound After Bear Markets? An Empirical Analysis From Five OECD Countries," THEMA Working Papers 2013-21, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
4. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
5. Takaishi, Tetsuya, 2018. "Bias correction in the realized stochastic volatility model for daily volatility on the Tokyo Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 139-154.
6. Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 1999. "Range-Based Estimation of Stochastic Volatility Models or Exchange Rate Dynamics are More Interesting Than You Think," Center for Financial Institutions Working Papers 00-28, Wharton School Center for Financial Institutions, University of Pennsylvania.
7. Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2016. "A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips Curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 551-565, April.
   • Joshua C C Chan & Gary Koop & Simon M Potter, 2012. "A Bounded Model of Time Variation in Trend Inflation, NAIRU and the Phillips Curve," ANU Working Papers in Economics and Econometrics 2012-590, Australian National University, College of Business and Economics, School of Economics.
   • Joshua C.C. Chan & Gary Koop & Simon M. Potter, 2014. "A Bounded Model of Time Variation in Trend Inflation, NAIRU and the Phillips Curve," CAMA Working Papers 2014-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
8. Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2021. "The interplay between oil and food commodity prices: Has it changed over time?," Journal of International Economics, Elsevier, vol. 133(C).
   • Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," CESifo Working Paper Series 7826, CESifo.
   • Peersman, Gert & Rüth, Sebastian K. & Van der Veken, Wouter, 2019. "The interplay between oil and food commodity prices: Has It changed over time?," Working Papers 0665, University of Heidelberg, Department of Economics.
   • Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/978, Ghent University, Faculty of Economics and Business Administration.
9. Brenda Guevara & Gabriel Rodríguez & Lorena Yamuca Salvatierra, 2024. "External Shocks and Economic Fluctuations in Peru: Empirical Evidence using Mixture Innovation TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2024-529, Departamento de Economía - Pontificia Universidad Católica del Perú.
10. Audrino, Francesco & Fengler, Matthias R., 2015. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 46-63.
    • Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
11. Bjørnland, Hilde C. & Thorsrud, Leif Anders & Torvik, Ragnar, 2019. "Dutch disease dynamics reconsidered," European Economic Review, Elsevier, vol. 119(C), pages 411-433.
    • Hilde C. Bjørnland & Leif Anders Thorsrud & Ragnar Torvik, 2018. "Dutch disease dynamics reconsidered," Working Paper 2018/1, Norges Bank.
    • Hilde C. Bjørnland & Leif Anders Thorsrud & Ragnar Torvik, 2018. "Dutch Disease Dynamics Reconsidered," Working Papers No 4/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    • Hilde C. Bjørnland & Leif Anders Thorsrud & Ragnar Torvik, 2019. "Dutch disease dynamics reconsidered," CAMA Working Papers 2019-55, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
12. Diego Ferreira & Andreza Aparecida Palma, 2018. "Inflation And Inflation Uncertainty In Latin America: A Time-Varying Stochastic Volatility In Mean Approach," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 125, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
13. Martin Iseringhausen & Hauke Vierke, 2019. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 849-867, August.
    • Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
14. Diebold, Giorgianni, & Inoue, "undated". "Stamp 5.0: A Review," Home Pages _058, University of Pennsylvania.
15. Juan Rubio-Ramirez & Jesus Fernandez-Villaverde & Pablo A. Guerron-Quintana, 2010. "Fortune or Virtue: Time Variant Volatilities versus Parameter Drifting in U.S. Data," 2010 Meeting Papers 270, Society for Economic Dynamics.
    • Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2010. "Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data," NBER Working Papers 15928, National Bureau of Economic Research, Inc.
    • Rubio-Ramírez, Juan Francisco & Fernández-Villaverde, Jesús & Guerron-Quintana, Pablo A., 2010. "Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data," CEPR Discussion Papers 7813, C.E.P.R. Discussion Papers.
    • Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2010. "Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data," PIER Working Paper Archive 10-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
16. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
17. D’Agostino, Antonello & Ehrmann, Michael, 2014. "The pricing of G7 sovereign bond spreads – The times, they are a-changin," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 155-176.
    • D'Agostino, Antonello & Ehrmann, Michael, 2012. "The pricing of G7 sovereign bond spreads – the times, they are a-changin," MPRA Paper 40604, University Library of Munich, Germany.
    • Ehrmann, Michael & D'Agostino, Antonello, 2013. "The pricing of G7 sovereign bond spreads: the times, they are a-changin," Working Paper Series 1520, European Central Bank.
18. Jensen Mark J., 2016. "Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 455-475, September.
    • Mark J. Jensen, 2015. "Robust estimation of nonstationary, fractionally integrated, autoregressive, stochastic volatility," FRB Atlanta Working Paper 2015-12, Federal Reserve Bank of Atlanta.
19. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
20. Ball, Clifford A. & Torous, Walter N., 2000. "Stochastic correlation across international stock markets," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 373-388, November.
21. Punzi, Maria Teresa, 2016. "Financial cycles and co-movements between the real economy, finance and asset price dynamics in large-scale crises," FinMaP-Working Papers 61, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
22. Dennis Alvaro & Ángel Guillén & Gabriel Rodríguez, 2017. "Modelling the volatility of commodities prices using a stochastic volatility model with random level shifts," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 71-103, February.
    • Gabriel Rodríguez & Dennis Alvaro & Ángel Guillén, 2016. "Modelling the Volatility of Commodities Prices using a Stochastic Volatility Model with Random Level Shifts," Documentos de Trabajo / Working Papers 2016-414, Departamento de Economía - Pontificia Universidad Católica del Perú.
23. Iseringhausen, Martin, 2020. "The time-varying asymmetry of exchange rate returns: A stochastic volatility – stochastic skewness model," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 275-292.
    • Martin Iseringhausen, 2018. "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/944, Ghent University, Faculty of Economics and Business Administration.
24. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.
    • Hautsch, Nikolaus & Yang, Fuyu, 2010. "Bayesian inference in a stochastic volatility Nelson-Siegel Model," SFB 649 Discussion Papers 2010-004, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
25. Frédérique Bec & Anders Rahbek & Neil Shephard, 2008. "The ACR Model: A Multivariate Dynamic Mixture Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(5), pages 583-618, October.
    • Frédérique Bec & Anders Rahbek & Neil Shephard, 2008. "The ACR model: a multivariate dynamic mixture autoregression," THEMA Working Papers 2008-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
26. Clements, Michael P., 2018. "Are macroeconomic density forecasts informative?," International Journal of Forecasting, Elsevier, vol. 34(2), pages 181-198.
    • Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
27. Masahiro Watanabe, 2003. "A Model of Stochastic Liquidity," Yale School of Management Working Papers ysm385, Yale School of Management.
28. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
    • Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
    • Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
    • Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
29. Daniel Kaufmann, 2015. "Nominal stability and Swiss monetary regimes over two centuries," KOF Working papers 15-379, KOF Swiss Economic Institute, ETH Zurich.
30. Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
    • Casas, Isabel, 2019. "Exploring option pricing and hedging via volatility asymmetry," DES - Working Papers. Statistics and Econometrics. WS 28234, Universidad Carlos III de Madrid. Departamento de Estadística.
31. Laurini, Márcio Poletti & Mauad, Roberto Baltieri & Aiube, Fernando Antônio Lucena, 2020. "The impact of co-jumps in the oil sector," Research in International Business and Finance, Elsevier, vol. 52(C).
32. Ahmed Belhadjayed & Grégoire Loeper & Frédéric Abergel, 2016. "Forecasting Trends With Asset Prices," Post-Print hal-01512431, HAL.
33. Soojin Jo & Rodrigo Sekkel, 2019. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 436-446, July.
    • Soojin Jo & Rodrigo Sekkel, 2016. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Staff Working Papers 16-5, Bank of Canada.
    • Soojin Jo & Rodrigo Sekkel, 2017. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Working Papers 1702, Federal Reserve Bank of Dallas.
34. Jensen, Mark J. & Maheu, John M., 2010. "Bayesian semiparametric stochastic volatility modeling," Journal of Econometrics, Elsevier, vol. 157(2), pages 306-316, August.
    • Mark J Jensen & John M Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," Working Papers tecipa-314, University of Toronto, Department of Economics.
    • Mark J. Jensen & John M. Maheu, 2009. "Bayesian Semiparametric Stochastic Volatility Modeling," Working Paper series 23_09, Rimini Centre for Economic Analysis.
    • Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
35. Charles S. Bos, 2011. "Relating Stochastic Volatility Estimation Methods," Tinbergen Institute Discussion Papers 11-049/4, Tinbergen Institute.
36. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2011. "Bayesian inference in a time varying cointegration model," Journal of Econometrics, Elsevier, vol. 165(2), pages 210-220.
    • Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "Bayesian Inference in the Time Varying Cointegration Model," Working Paper series 23_08, Rimini Centre for Economic Analysis.
    • Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    • Gary Koop & Roberto Leon-Gonzales & Rodney W Strachan, 2011. "Bayesian Inference in a Time Varying Cointegration Model," CAMA Working Papers 2011-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Gary Koop & Roberto Leon Gonzalez & Rodney W. Strachan, 2008. "Bayesian Inference in the Time Varying Cointegration Model," GRIPS Discussion Papers 08-01, National Graduate Institute for Policy Studies.
    • Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2008. "Bayesian Inference in the Time Varying Cointegration Model," SIRE Discussion Papers 2008-60, Scottish Institute for Research in Economics (SIRE).
37. Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 2000. "On the variation of hedging decisions in daily currency risk management," Econometric Institute Research Papers EI 2000-20/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2001. "On the Variation of Hedging Decisions in Daily Currency Risk Management," Tinbergen Institute Discussion Papers 01-018/4, Tinbergen Institute.
38. Bauwens, Luc & Giot, Pierre & Grammig, Joachim & Veredas, David, 2004. "A comparison of financial duration models via density forecasts," International Journal of Forecasting, Elsevier, vol. 20(4), pages 589-609.
    • BAUWENS , Luc & GIOT, Pierre & GRAMMIG, Joachim & VEREDAS, David, 2000. "A comparison of financial duration models via density forecasts," LIDAM Discussion Papers CORE 2000060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Luc Bauwens & Pierre Giot & Joachim Grammig & David Veredas, 2004. "A comparison of financial duration models via density forecast," ULB Institutional Repository 2013/136218, ULB -- Universite Libre de Bruxelles.
    • BAUWENS, Luc & GIOT, Pierre & GRAMMIG, Joachim & VEREDAS, David, 2004. "A comparison of financial duration models via density forecasts," LIDAM Reprints CORE 1746, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Luc Bauwens & Pierre Giot & Joachim Grammig & David Veredas, 2000. "A Comparison of Financial Duration Models via Density Forecasts," Econometric Society World Congress 2000 Contributed Papers 0810, Econometric Society.
39. Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024. "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
    • Zea Bermudez, Patrícia de & Rue, Havard, 2021. "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 31804, Universidad Carlos III de Madrid. Departamento de Estadística.
40. Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2009. "Estimating stochastic volatility models using daily returns and realized volatility simultaneously," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2404-2426, April.
    • Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2007. "Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously," CIRJE F-Series CIRJE-F-515, CIRJE, Faculty of Economics, University of Tokyo.
41. Gnimassoun, Blaise & Joëts, Marc & Razafindrabe, Tovonony, 2017. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," International Economics, Elsevier, vol. 152(C), pages 63-78.
    • Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2017. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," International Economics, CEPII research center, issue 152, pages 63-78.
    • Blaise Gnimassoun & Marc Joets & Tovonony Razafindrabe, 2016. "On the link between current account and oil price fluctuation in diversified economies: The case of Canada," Economics Working Paper Archive (University of Rennes & University of Caen) 2016-08, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    • Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2016. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," EconomiX Working Papers 2016-35, University of Paris Nanterre, EconomiX.
    • Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2017. "On the link between current account and oil price fluctuations in diversified economies : The case of Canada," Post-Print halshs-01615104, HAL.
    • Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2016. "On the link between current account and oil price fluctuation in diversified economies: The case of Canada," Working Papers of BETA 2016-41, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
42. Neil Shephard & Ole E. Barndorff-Nielsen & Department of Mathematical Sciences & University of Aarhus & Denmark, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Series Working Papers 240, University of Oxford, Department of Economics.
    • Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," OFRC Working Papers Series 2005fe08, Oxford Financial Research Centre.
    • Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Papers 2005-W16, Economics Group, Nuffield College, University of Oxford.
43. Zhang, Xibin & King, Maxwell L. & Hyndman, Rob J., 2006. "A Bayesian approach to bandwidth selection for multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3009-3031, July.
44. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, September.
45. Natalia Khorunzhina & Jean-François Richard, 2019. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 991-1017, March.
    • Jean-Francois Richard, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kerkels," Working Paper 5980, Department of Economics, University of Pittsburgh.
    • Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.
46. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    • David Hendry & Michael P. Clements, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Papers 2002-W11, Economics Group, Nuffield College, University of Oxford.
    • Clements, Michael P. & Hendry, David F., 2001. "Economic forecasting: some lessons from recent research," Working Paper Series 82, European Central Bank.
    • Hendry, David F & Michael P. Clements, 2002. "Economic Forecasting: Some Lessons from Recent Research," Royal Economic Society Annual Conference 2002 99, Royal Economic Society.
    • David Hendry & Michael P. Clements & Department of Economics & University of Warwick, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Series Working Papers 78, University of Oxford, Department of Economics.
47. Jochmann, Markus & Koop, Gary & Potter, Simon M., 2010. "Modeling the dynamics of inflation compensation," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 157-167, January.
    • Markus Jochmann & Gary Koop & Simon M. Potter, 2009. "Modeling the Dynamics of Inflation Compensation," Working Paper series 15_09, Rimini Centre for Economic Analysis.
48. Wang, Renhe & Wang, Tong & Qian, Zhiyong & Hu, Shulan, 2023. "A Bayesian estimation approach of random switching exponential smoothing with application to credit forecast," Finance Research Letters, Elsevier, vol. 58(PC).
49. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2017. "The nexus between the oil price and its volatility in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-33, Eastern Mediterranean University, Department of Economics.
50. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 477-490, February.
    • Fabio Canova & Luca Gambetti, 2003. "Structural changes in the US economy: is there a role for monetary policy?," Economics Working Papers 918, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
51. Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2013. "Real-Time Inflation Forecasting in a Changing World," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 29-44, January.
    • Groen, J.J.J. & Paap, R., 2009. "Real-time inflation forecasting in a changing world," Econometric Institute Research Papers EI 2009-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2009. "Real-time inflation forecasting in a changing world," Staff Reports 388, Federal Reserve Bank of New York.
    • Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2009. "Real-Time Inflation Forecasting in a Changing World," Working Paper 2009/16, Norges Bank.
52. Bowsher, Clive G., 2007. "Modelling security market events in continuous time: Intensity based, multivariate point process models," Journal of Econometrics, Elsevier, vol. 141(2), pages 876-912, December.
    • Clive Bowsher, 2002. "Modelling Security Market Events in Continuous Time: Intensity based, Multivariate Point Process Models," Economics Papers 2002-W22, Economics Group, Nuffield College, University of Oxford.
    • Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford.
    • Clive G. Bowsher, 2003. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2003-W03, Economics Group, Nuffield College, University of Oxford.
53. Nonejad, Nima, 2014. "Particle Gibbs with Ancestor Sampling Methods for Unobserved Component Time Series Models with Heavy Tails, Serial Dependence and Structural Breaks," MPRA Paper 55664, University Library of Munich, Germany.
54. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2016. "VAR models with non-Gaussian shocks," LSE Research Online Documents on Economics 86238, London School of Economics and Political Science, LSE Library.
    • Ching-Wai Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," Discussion Papers 1609, Centre for Macroeconomics (CFM).
    • Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," CReMFi Discussion Papers 4, CReMFi, School of Economics and Finance, QMUL.
55. Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2012. "Time Varying Dimension Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 358-367, January.
    • Chan, Joshua C C & Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W, 2010. "Time Varying Dimension Models," SIRE Discussion Papers 2012-33, Scottish Institute for Research in Economics (SIRE).
    • Joshua C C Chan & Gary Koop & Roberto Leon-Gonzales & Rodney W Strachan, 2011. "Time Varying Dimension Models," CAMA Working Papers 2011-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2010. "Time Varying Dimension Models," Working Paper series 44_10, Rimini Centre for Economic Analysis.
    • Joshua Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Time Varying Dimension Models," Working Papers 1116, University of Strathclyde Business School, Department of Economics.
    • Joshua C.C. Chan & Garry Koop & Roberto Leon Gonzales & Rodney W. Strachan, 2010. "Time Varying Dimension Models," ANU Working Papers in Economics and Econometrics 2010-523, Australian National University, College of Business and Economics, School of Economics.
56. Miguel A.G. Belmonte & Gary Koop & Dimitris Korobilis, 2014. "Hierarchical Shrinkage in Time‐Varying Parameter Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 80-94, January.
    • Belmonte, Miguel A & Koop, Gary & Korobilis, Dimitris, 2011. "Hierarchical Shrinkage in Time-Varying Parameter Models," SIRE Discussion Papers 2012-68, Scottish Institute for Research in Economics (SIRE).
    • BELMONTE, Miguel A.G. & KOOP, Gary & KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage in time-varying parameter models," LIDAM Discussion Papers CORE 2011036, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Miguel A. G. Belmonte & Gary Koop & Dimitris Korobilis, 2011. "Hierarchical Shrinkage in Time-Varying Parameter Models," Working Paper series 35_11, Rimini Centre for Economic Analysis.
    • Miguel Belmonte & Gary Koop & Dimitris Korobilis, 2011. "Hierarchical Shrinkage in Time-Varying Parameter Models," Working Papers 1137, University of Strathclyde Business School, Department of Economics.
    • Miguel, Belmonte & Gary, Koop & Dimitris, Korobilis, 2011. "Hierarchical shrinkage in time-varying parameter models," MPRA Paper 31827, University Library of Munich, Germany.
57. Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
58. Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2020. "On an integer-valued stochastic intensity model for time series of counts," MPRA Paper 105406, University Library of Munich, Germany.
59. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
    • Deschamps, Philippe J., 2004. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," DQE Working Papers 2, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.
60. Salima El Kolei, 2013. "Parametric estimation of hidden stochastic model by contrast minimization and deconvolution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(8), pages 1031-1081, November.
61. Wang, Min & Sun, Xiaoqian, 2012. "Bayesian inference for the correlation coefficient in two seemingly unrelated regressions," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2442-2453.
62. Amir Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2014. "Drifts, Volatilities and Impulse Responses Over the Last Century," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100562, Verein für Socialpolitik / German Economic Association.
    • Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2014. "Drifts, Volatilities, and Impulse Responses Over the Last Century," Working Paper 14-10, Federal Reserve Bank of Richmond.
63. Dávid Zoltán Szabó & Kata Váradi, 2022. "Margin requirements based on a stochastic correlation model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1797-1820, October.
64. Kang, Wensheng & Ratti, Ronald A. & Yoon, Kyung Hwan, 2015. "Time-varying effect of oil market shocks on the stock market," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 150-163.
    • Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
65. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.
66. Timmermann, Allan & Pettenuzzo, Davide & Valkanov, Rossen, 2014. "A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics," CEPR Discussion Papers 10160, C.E.P.R. Discussion Papers.
    • Davide Pettenuzzo & Rossen Valkanov & Allan Timmermann, 2014. "A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics," Working Papers 76, Brandeis University, Department of Economics and International Business School.
67. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    • Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Dissecting the 2007-2009 real estate market bust: systematic pricing correction or just a housing fad?," Working Paper 2013/22, Norges Bank.
68. Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2024. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 825-837, April.
    • Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2021. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Papers 2111.07225, arXiv.org.
69. Guohua Feng & Chuan Wang, 2021. "Determinants of profitability of community banks in the USA: a cost-frontier-based decomposition approach," Empirical Economics, Springer, vol. 60(6), pages 2969-2992, June.
70. Sofia Anyfantaki & Antonis Demos, 2016. "Estimation and Properties of a Time-Varying EGARCH(1,1) in Mean Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(2), pages 293-310, February.
    • Sofia Anyfantaki & Antonis Demos, 2012. "Estimation and Properties of a Time-Varying EGARCH(1,1) in Mean Model," DEOS Working Papers 1228, Athens University of Economics and Business.
71. Daiki Maki, 2015. "Wild bootstrap tests for unit root in ESTAR models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 475-490, September.
72. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    • Broto, Carmen, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
73. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2024. "Capturing Macro‐Economic Tail Risks with Bayesian Vector Autoregressions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1099-1127, August.
    • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    • Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
74. Jamie L. Cross & Chenghan Hou & Bao H. Nguyen, 2018. "On the China factor in international oil markets: A regime switching approach," Working Papers No 11/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
75. Belongia, Michael T. & Ireland, Peter N., 2016. "The evolution of U.S. monetary policy: 2000–2007," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 78-93.
    • Michael T. Belongia & Peter N. Ireland, 2015. "The Evolution of US Monetary Policy: 2000-2007," Boston College Working Papers in Economics 882, Boston College Department of Economics.
    • Michael T. Belongia & Peter N. Ireland, 2016. "The Evolution of U.S. Monetary Policy: 2000 - 2007," NBER Working Papers 22693, National Bureau of Economic Research, Inc.
76. Pascale VALERY (HEC-Montreal) & Jean-Marie Dufour (University of Montreal), 2004. "A simple estimation method and finite-sample inference for a stochastic volatility model," Econometric Society 2004 North American Summer Meetings 153, Econometric Society.
77. Jean Pierre Fernández Prada Saucedo & Gabriel Rodríguez, 2020. "Modeling the Volatility of Returns on Commodities: An Application and Empirical Comparison of GARCH and SV Models," Documentos de Trabajo / Working Papers 2020-484, Departamento de Economía - Pontificia Universidad Católica del Perú.
78. Raggi, Davide & Bordignon, Silvano, 2012. "Long memory and nonlinearities in realized volatility: A Markov switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3730-3742.
    • S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
79. Bian, Zhicun & Ma, Jun & Ni, Jinlan & Stewart, Shamar, 2020. "Synchronization of regional growth dynamics in China," China Economic Review, Elsevier, vol. 61(C).
80. Johansson, Anders C., 2010. "Asian sovereign debt and country risk," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 335-350, September.
    • Johansson, Anders C., 2009. "Asian Sovereign Debt and Country Risk," Working Paper Series 2009-11, Stockholm School of Economics, China Economic Research Center.
81. Wen Xu, 2016. "Estimation of Dynamic Panel Data Models with Stochastic Volatility Using Particle Filters," Econometrics, MDPI, vol. 4(4), pages 1-13, October.
82. Faruk Selcuk, 2005. "Asymmetric stochastic volatility in emerging stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 15(12), pages 867-874.
83. Haque, Qazi & Magnusson, Leandro M., 2021. "Uncertainty shocks and inflation dynamics in the U.S," Economics Letters, Elsevier, vol. 202(C).
    • Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the U.S," Economics Discussion / Working Papers 20-25, The University of Western Australia, Department of Economics.
    • Qazi Haque & Leandro M. Magnusson, 2020. "Uncertainty shocks and inflation dynamics in the US," CAMA Working Papers 2020-100, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
84. Ivan Mendieta-Munoz & Mengheng Li, 2019. "The Multivariate Simultaneous Unobserved Compenents Model and Identification via Heteroskedasticity," Working Paper Series, Department of Economics, University of Utah 2019_06, University of Utah, Department of Economics.
    • Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
85. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
86. Paolo Girardello & Orietta Nicolis & Giovanni Tondini, 2003. "Comparing Conditional Variance Models: Theory and Empirical Evidence," Multinational Finance Journal, Multinational Finance Journal, vol. 7(3-4), pages 177-206, September.
87. Bampinas, Georgios & Panagiotidis, Theodore & Papapanagiotou, Georgios, 2023. "Oil shocks and investor attention," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 68-81.
    • Georgios Bampinas & Theodore Panagiotidis & Georgios Papapanagiotou, 2022. "Oil shocks and investor attention," Working Paper series 22-13, Rimini Centre for Economic Analysis.
88. Sylvia Kaufmann & Sylvia Frühwirth‐Schnatter, 2002. "Bayesian analysis of switching ARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(4), pages 425-458, July.
    • Sylvia Fruhwirth-Schnattaer & Sylvia Kaufmann, 2000. "Bayesian Analysis of Switching ARCH Models," Econometric Society World Congress 2000 Contributed Papers 1381, Econometric Society.
89. Chaya Weerasinghe & Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier, 2023. "ABC-based Forecasting in State Space Models," Monash Econometrics and Business Statistics Working Papers 12/23, Monash University, Department of Econometrics and Business Statistics.
90. Anders Rahbek & Neil Shephard, 2001. "Autoregressive conditional root model," Economics Papers 2002-W7, Economics Group, Nuffield College, University of Oxford, revised 01 Feb 2002.
91. Yang Liu & Mariano Croce & Ivan Shaliastovich & Ric Colacito, 2016. "Volatility Risk Pass-Through," 2016 Meeting Papers 135, Society for Economic Dynamics.
    • Croce, Mariano & Colacito, Ric & Liu, Yang & Shaliastovich, Ivan, 2018. "Volatility Risk Pass-Through," CEPR Discussion Papers 13325, C.E.P.R. Discussion Papers.
    • Riccardo Colacito & Mariano Max Croce & Yang Liu & Ivan Shaliastovich, 2018. "Volatility Risk Pass-through," NBER Working Papers 25276, National Bureau of Economic Research, Inc.
92. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
    • Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2016. "Measuring Uncertainty and Its Impact on the Economy," Working Papers (Old Series) 1622, Federal Reserve Bank of Cleveland.
    • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers 1639, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
93. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
94. Cappuccio Nunzio & Lubian Diego & Raggi Davide, 2004. "MCMC Bayesian Estimation of a Skew-GED Stochastic Volatility Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-31, May.
    • Nunzio Cappuccio & Diego Lubian & Davide Raggi, 2003. "MCMC Bayesian Estimation of a Skew-GED Stochastic Volatily Model," Working Papers 07/2003, University of Verona, Department of Economics.
95. Audrone Virbickaite & M. Concepción Ausín & Pedro Galeano, 2015. "Bayesian Inference Methods For Univariate And Multivariate Garch Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 76-96, February.
96. Davide Pettenuzzo & Francesco Ravazzolo, 2016. "Optimal Portfolio Choice Under Decision‐Based Model Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1312-1332, November.
    • Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal Portfolio Choice under Decision-Based Model Combinations," Working Papers 80, Brandeis University, Department of Economics and International Business School.
    • Davide Pettenuzzo & Francesco Ravazzolo, 2015. "Optimal Portfolio Choice under Decision-Based Model Combinations," Working Papers No 9/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    • Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
97. Joshua C. C. Chan, 2024. "BVARs and stochastic volatility," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 3, pages 43-67, Edward Elgar Publishing.
    • Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
98. Jhonatan Portilla & Gabriel Rodríguez & Paul Castillo B., 2022. "Evolution of Monetary Policy in Peru: An Empirical Application Using a Mixture Innovation TVP-VAR-SV Model [Metas de Inflación en Una Economía Dolarizada: La Experencia Del Perú]," CESifo Economic Studies, CESifo Group, vol. 68(1), pages 98-126.
    • Jhonatan Portilla Goicochea & Gabriel Rodríguez, 2020. "Evolution of Monetary Policy in Peru: An Empirical Application using a Mixture Innovation TVP-VAR-SV Model," Documentos de Trabajo / Working Papers 2020-485, Departamento de Economía - Pontificia Universidad Católica del Perú.
99. Ravazzolo Francesco & Vahey Shaun P., 2014. "Forecast densities for economic aggregates from disaggregate ensembles," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(4), pages 367-381, September.
    • Francesco Ravazzolo & Shaun P. Vahey, 2010. "Forecast Densities for Economic Aggregates from Disaggregate Ensembles," CAMA Working Papers 2010-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Francesco Ravazzolo & Shaun P. Vahey, 2010. "Forecast densities for economic aggregates from disaggregate ensembles," Working Paper 2010/02, Norges Bank.
100. Yong Li & Zhongxin Ni & Jie Zhang, 2011. "An Efficient Stochastic Simulation Algorithm for Bayesian Unit Root Testing in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 237-248, March.
101. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
     • Asai, M. & McAleer, M.J., 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Econometric Institute Research Papers 2018-005/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
     • Manabu Asai & Michael McAleer, 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Tinbergen Institute Discussion Papers 18-005/III, Tinbergen Institute.
     • Manabu Asai & Michael McAleer, 2018. "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE 2018-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
102. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
103. Neil Shephard, 2005. "Stochastic Volatility," Economics Papers 2005-W17, Economics Group, Nuffield College, University of Oxford.
104. repec:cte:wsrepe:ws131110 is not listed on IDEAS
105. Vasco Cúrdia & Marco Del Negro & Daniel L. Greenwald, 2014. "Rare Shocks, Great Recessions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1031-1052, November.
     • Marco Del Negro & Vasco Curdia, 2012. "Rare Shocks, Great Recessions," 2012 Meeting Papers 654, Society for Economic Dynamics.
     • Vasco Curdia & Marco Del Negro & Daniel L. Greenwald, 2013. "Rare Shocks, Great Recessions," Working Paper Series 2013-01, Federal Reserve Bank of San Francisco.
     • Vasco Curdia & Marco Del Negro & Daniel L. Greenwald, 2012. "Rare shocks, great recessions," Staff Reports 585, Federal Reserve Bank of New York.
106. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
     • Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
107. Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
     • Haroon Mumtaz & Konstantinos Theodoridis, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 760, Queen Mary University of London, School of Economics and Finance.
     • Mumtaz, Haroon & Theodoridis, Konstantinos, 2018. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Cardiff Economics Working Papers E2018/21, Cardiff University, Cardiff Business School, Economics Section.
     • Konstantinos Theodoridis & Haroon Mumtaz, 2015. "Dynamic Effects of Monetary Policy Shocks on Macroeconomic Volatility," Working Papers 101219932, Lancaster University Management School, Economics Department.
108. Flury, Thomas & Shephard, Neil, 2011. "Bayesian Inference Based Only On Simulated Likelihood: Particle Filter Analysis Of Dynamic Economic Models," Econometric Theory, Cambridge University Press, vol. 27(05), pages 933-956, October.
     • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
     • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
     • Nolte, Stephan & Grethe, Harald, 2010. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60.
     • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
     • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
     • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
     • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
     • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
     • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
     • Ruttan, Vernon W., 1977. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 2(3), pages 196-216, August.
     • Senauer, Benjamin, 1989. "Major Consumer Trends Affecting the U.S. Food System," Choices, Agricultural and Applied Economics Association, vol. 4(4).
     • Clement A. Tisdell, 2007. "Sustainable Agriculture," Chapters, in: Handbook of Sustainable Development, chapter 22 Edward Elgar Publishing.
     • Thomas Grebel & Andreas Pyka & Horst Hanusch, 2003. "An Evolutionary Approach to the Theory of Entrepreneurship," Industry and Innovation, Taylor & Francis Journals, vol. 10(4), pages 493-514.
     • Friebel, Guido & Schnedler, Wendelin, 2011. "Team governance: Empowerment or hierarchical control," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 1-13, April.
     • Llavador, Humberto & Solano-García, Angel, 2011. "Immigration policy with partisan parties," Journal of Public Economics, Elsevier, vol. 95(1), pages 134-142.
     • Brañas-Garza, Pablo & Espinosa, María Paz & Rey-Biel, Pedro, 2011. "Travelers’ types," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1), pages 25-36.
     • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
     • Jordi Galí & Luca Gambetti, 2013. "The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence," NBER Chapters, in: Lessons from the Financial Crisis for Monetary Policy National Bureau of Economic Research, Inc.
     • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, 06.
     • Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
     • Jordi Galí & Frank Smets & Rafael Wouters, 2011. "Unemployment in an Estimated New Keynesian Model," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 329-360 National Bureau of Economic Research, Inc.
     • Broner, Fernando & Gelos, Gaston & Reinhart, Carmen, 2004. "When in peril, retrench: testing the portfolio channel of contagion," Proceedings, Federal Reserve Bank of San Francisco, issue Jun, pages 1-34.
     • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
     • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
     • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
     • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
     • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
     • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
     • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
     • Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
     • Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
     • Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
     • Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
     • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
     • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
     • Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
     • Kenji Nishizaki & Toshitaka Sekine & Yuichi Ueno & Yuko Kawai, 2013. "Chronic deflation in Japan," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 9-19 Bank for International Settlements.
     • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
     • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
     • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
     • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
     • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
     • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
     • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
     • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
     • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
     • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
     • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 53-61, December.
     • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
     • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
     • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 44-53, 05.
     • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 35-42, 08.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
     • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
     • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
     • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
     • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
     • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
     • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
     • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
     • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
     • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
     • Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-57, January.
     • Facchini, Giovanni & Steinhardt, Max Friedrich, 2011. "What drives U.S. immigration policy? Evidence from congressional roll call votes," Journal of Public Economics, Elsevier, vol. 95(7), pages 734-743.
     • Davide Castellani & Giorgia Giovannetti, 2010. "Productivity and the international firm: dissecting heterogeneity," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 13(1), pages 25-42.
     • Artjoms Ivlevs & Jaime De Melo, 2010. "FDI, the Brain Drain and Trade: Channels and Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 103-121.
     • Julien Gourdon & Nicolas Maystre & Jaime de Melo, 2008. "Openness, inequality and poverty: Endowments matter," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 343-378.
     • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
     • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
     • Lars E. O. Svensson & Michael Woodford, 2000. "Indicator variables for optimal policy," Proceedings, Federal Reserve Bank of San Francisco.
     • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
     • Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 872-912, 06.
     • Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages C25-C44, February.
     • Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117 National Bureau of Economic Research, Inc.
     • Christian Dreger & Hans-Eggert Reimers & Barbara Roffia, 2007. "Long-Run Money Demand in the New EU Member States with Exchange Rate Effects," Eastern European Economics, Taylor & Francis Journals, vol. 45(2), pages 75-94, April.
     • Christian Daude & Marcel Fratzscher, 2007. "The pecking order of cross-border investment," CGFS Papers chapters, in: Bank for International Settlements (ed.), Research on global financial stability: the use of BIS international financial statistics, volume 29, pages 53-89 Bank for International Settlements.
     • Reint Gropp & Jukka M. Vesala & Giuseppe Vulpes, 2002. "Equity and bond market signals as leading indicators of bank fragility," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
     • Kalin Nikolov, 2012. "Bubbles, banks and financial stability," Research Bulletin, European Central Bank, vol. 15, pages 2-6.
     • Forbes, Kristin J. & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2012. "Bubble thy neighbor: portfolio effects and externalities from capital controls," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 1-48.
     • Marcel Fratzscher, 2012. "Capital Controls and Foreign Exchange Policy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 66-98, August.
     • Geert Bekaert & Marie Hoerova, 2010. "Risk, uncertainty and monetary policy," Research Bulletin, European Central Bank, vol. 10, pages 11-13.
     • António Afonso & João Tovar Jalles, 2013. "Fiscal Composition and Long-term Growth," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
     • Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages C45-C90, 02.
     • Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis National Bureau of Economic Research, Inc.
     • Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
     • Elena Bobeica & Paulo Esteves & António Rua & Karsten Staehr, 2016. "Exports and domestic demand pressure: a dynamic panel data model for the euro area countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 107-125, February.
     • Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
     • Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
     • Pierpaolo Benigno & Michael Woodford, 2003. "Optimal monetary and fiscal policy: a linear-quadratic approach," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
     • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
     • Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
     • Fabrice Collard & Harris Dellas, 2003. "The great inflation of the 1970s," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
     • Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
     • Stephen Bond & Dietmar Harhoff & John Van Reenen, 2005. "Investment, R&D and Financial Constraints in Britain and Germany," Annals of Economics and Statistics, GENES, issue 79-80, pages 433-460.
     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
     • Francesco Caselli & Silvana Tenreyro, 2004. "Is Poland the next Spain?," Communities and Banking, Federal Reserve Bank of Boston.
     • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
     • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
     • Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, 09.
     • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
     • Jo Blanden & Stephen Machin, 2004. "Educational Inequality and the Expansion of UK Higher Education," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 230-249, 05.
     • Anthony J. Venables, 2006. "Shifts in economic geography and their causes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 15-39.
     • Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
     • Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, 06.
     • Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
     • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
     • Richard Freeman & John Van Reenen, 2009. "What if Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38 National Bureau of Economic Research, Inc.
     • Richard Perkins & Eric Neumayer, 2010. "Geographic variations in the early diffusion of corporate voluntary standards: comparing ISO 14001 and the Global Compact," Environment and Planning A, Pion Ltd, London, vol. 42(2), pages 347-365, February.
     • Richard B. Freeman, 2007. "When Workers Share in Profits: Effort and Responses to Shirking," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 9-36, November-.
     • Robert C. Allen & Jean‐Pascal Bassino & Debin Ma & Christine Moll‐Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64(s1), pages 8-38, February.
     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
     • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
     • Nancy Holman & Gabriel M Ahlfeldt, 2015. "No escape? The coordination problem in heritage preservation," Environment and Planning A, Pion Ltd, London, vol. 47(1), pages 172-187, January.
     • Paul Beaudry & David A. Green & Benjamin M. Sand, 2013. "The Great Reversal in the Demand for Skill and Cognitive Tasks," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 199-247 National Bureau of Economic Research, Inc.
     • Giuseppe Moscarini & Fabien Postel-Vinay, 2013. "Did the Job Ladder Fail after the Great Recession?," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 55-93 National Bureau of Economic Research, Inc.
     • Nuno Ferreira da Cruz & Pedro Simões & Rui Cunha Marques, 2013. "The hurdles of local governments with PPP contracts in the waste sector," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 31(2), pages 292-307, April.
     • Eric Neumayer & Peter Nunnenkamp & Martin Roy, 2016. "Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 177-213, February.
     • Joseph Seidel & Yang Xu, 2016. "MHTEXP: Stata module to perform multiple hypothesis testing correction procedure," Statistical Software Components S458153, Boston College Department of Economics.
     • Heike Hennig-Schmidt & Bettina Rockenbach & Abdolkarim Sadrieh, 2010. "In Search Of Workers' Real Effort Reciprocity-A Field and a Laboratory Experiment," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 817-837, 06.
     • Karlan, Dean & List, John A. & Shafir, Eldar, 2011. "Small matches and charitable giving: Evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 344-350.
     • Matthew T. Cole & Amélie Guillin, 2015. "The determinants of trade agreements in services vs. goods," International Economics, CEPII research center, issue 144, pages 66-82.
     • Yilmazkuday, Hakan, 2016. "Forecasting the Great Trade Collapse," International Economics, Elsevier, vol. 147(C), pages 145-154.
     • Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
     • Georgy Idrisov & Mikhail Khromov & Evgeny Goryunov & Alexander Knobel & Yuri Ponomarev & Alexander Deryugin & Julia Florinskaya & Nikita Mkrtchan, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 16, pages 1-26, November.
     • Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
     • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
     • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
     • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
     • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
     • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
     • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
     • Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
     • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
     • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
     • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
     • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
     • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
     • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
     • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
     • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
     • Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
     • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
     • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
     • Loginov D. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Goryunov Evgeny & Kiyutsevskaya Anna & Larionova M. & Sakharov A. & Shelepov A. & Avraamova A., 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 29, pages 1-26, June.
     • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
     • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
     • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
     • Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
     • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
     • Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 18, pages 1-26, December.
     • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
     • Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
     • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
     • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Jorge M. Andraz & Nelia M. Norte, 2013. "Output volatility in the OECD: Are the member states becoming less vulnerable to exogenous shocks?," Economic Issues Journal Articles, Economic Issues, vol. 18(2), pages 91-122, September.
       • Jorge Miguel Lopo Gonçalves Andraz & Nélia Maria Afonso Norte, 2013. "Output volatility in the OECD: Are the member states becoming less vulnerable to exogenous shocks?," CEFAGE-UE Working Papers 2013_17, University of Evora, CEFAGE-UE (Portugal).
     • Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-07, Economic Statistics Centre of Excellence (ESCoE).
       • Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage," Discussion Papers in Economics 19/05, Division of Economics, School of Business, University of Leicester.
     • Joshua C. C. Chan & Eric Eisenstat, 2015. "Marginal Likelihood Estimation with the Cross-Entropy Method," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 256-285, March.
       • Joshua C C Chan & Eric Eisenstat, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," CAMA Working Papers 2012-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Chan, Joshua & Eisenstat, Eric, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," MPRA Paper 40051, University Library of Munich, Germany.
     • Audronė Virbickaitė & Hedibert F. Lopes & M. Concepción Ausín & Pedro Galeano, 2019. "Particle learning for Bayesian semi-parametric stochastic volatility model," Econometric Reviews, Taylor & Francis Journals, vol. 38(9), pages 1007-1023, October.
       • Audrone Virbickaite & Hedibert F. Lopes & Maria Concepción Ausín & Pedro Galeano, 2018. "Particle Learning for Bayesian Semi-Parametric Stochastic Volatility Model," DEA Working Papers 88, Universitat de les Illes Balears, Departament d'Economía Aplicada.
     • Luca Gambetti & Alberto Musso, 2017. "Loan Supply Shocks and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 764-782, June.
       • Musso, Alberto & Gambetti, Luca, 2012. "Loan supply shocks and the business cycle," Working Paper Series 1469, European Central Bank.
     • Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
     • Loddo, Antonello & Ni, Shawn & Sun, Dongchu, 2011. "Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(3), pages 342-355.
       • Antonello Loddo & Shawn Ni & Dongchu Sun, 2011. "Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 342-355, July.
       • Shawn Ni & Antonello Loddo & Dongchu Sun, 2009. "Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search," Working Papers 0911, Department of Economics, University of Missouri.
     • Guanyu Hu & Ming-Hui Chen & Nalini Ravishanker, 2023. "Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models," Computational Statistics, Springer, vol. 38(2), pages 845-869, June.
     • C. A. Abanto-Valle & V. H. Lachos & Dipak K. Dey, 2015. "Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 721-738, September.
     • Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
     • Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
       • Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2012. "News Impact Curve for Stochastic Volatility Models," Global COE Hi-Stat Discussion Paper Series gd12-242, Institute of Economic Research, Hitotsubashi University.
     • Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016. "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, vol. 193(2), pages 315-334.
     • Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
     • Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in dairy markets," Papers 2104.12707, arXiv.org.
     • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
       • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
       • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
       • Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022. "Understanding trend inflation through the lens of the goods and services sectors," CAMA Working Papers 2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
     • Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
       • Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2013. "Measuring Uncertainty," NBER Working Papers 19456, National Bureau of Economic Research, Inc.
     • David T. Frazier & Ruben Loaiza-Maya & Gael M. Martin, 2021. "Variational Bayes in State Space Models: Inferential and Predictive Accuracy," Papers 2106.12262, arXiv.org, revised Feb 2022.
       • David T. Frazier & Gael M. Martin & Ruben Loaiza-Maya, 2022. "Variational Bayes in State Space Models: Inferential and Predictive Accuracy," Monash Econometrics and Business Statistics Working Papers 1/22, Monash University, Department of Econometrics and Business Statistics.
     • Pourkhanali, Armin & Tafakori, Laleh & Bee, Marco, 2023. "Forecasting Value-at-Risk using functional volatility incorporating an exogenous effect," International Review of Financial Analysis, Elsevier, vol. 89(C).
     • Tsionas, Mike, 2012. "Simple techniques for likelihood analysis of univariate and multivariate stable distributions: with extensions to multivariate stochastic volatility and dynamic factor models," MPRA Paper 40966, University Library of Munich, Germany, revised 20 Aug 2012.
     • Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2021. "Empirical Evidence on the Dynamics of Investment Under Uncertainty in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1193-1217, October.
       • Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the US," CAMA Working Papers 2019-87, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the U.S," Economics Discussion / Working Papers 19-18, The University of Western Australia, Department of Economics.
     • P. de Zea Bermudez & J. Miguel Marín & Helena Veiga, 2020. "Data cloning estimation for asymmetric stochastic volatility models," Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1057-1074, November.
       • Zea Bermudez, Patrícia de, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de Estadística.
     • Miazhynskaia, Tatiana & Fruhwirth-Schnatter, Sylvia & Dorffner, Georg, 2006. "Bayesian testing for non-linearity in volatility modeling," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2029-2042, December.
     • Everaert, Gerdie & Iseringhausen, Martin, 2018. "Measuring the international dimension of output volatility," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 20-39.
       • Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
     • Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2020. "Cash Flow News and Stock Price Dynamics," Journal of Finance, American Finance Association, vol. 75(4), pages 2221-2270, August.
       • Timmermann, Allan & Pettenuzzo, Davide & Sabbatucci, Riccardo, 2019. "Cash Flow News and Stock Price Dynamics," CEPR Discussion Papers 14117, C.E.P.R. Discussion Papers.
     • Assaf, Ata, 2006. "The stochastic volatility in mean model and automation: Evidence from TSE," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 241-253, May.
     • Shin, Minchul & Zhong, Molin, 2017. "Does realized volatility help bond yield density prediction?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
       • Minchul Shin & Molin Zhong, 2013. "Does realized volatility help bond yield density prediction?," PIER Working Paper Archive 13-064, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
       • Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
     • Lombardi, Marco J. & Sgherri, Silvia, 2007. "(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate," Working Paper Series 794, European Central Bank.
     • Joshua C.C. Chan & Angelia L. Grant, 2014. "Issues in Comparing Stochastic Volatility Models Using the Deviance Information Criterion," CAMA Working Papers 2014-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
     • Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
     • Jiang, George J., 1998. "Jump-diffusion model of exchange rate dynamics : estimation via indirect inference," Research Report 98A40, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
     • Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
       • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
       • Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
     • Kawakatsu, Hiroyuki, 2007. "Specification and estimation of discrete time quadratic stochastic volatility models," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 424-442, June.
     • Lombardi, Marco J. & Calzolari, Giorgio, 2009. "Indirect estimation of [alpha]-stable stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2298-2308, April.
       • Marco Lombardi & Giorgio Calzolari, 2006. "Indirect estimation of alpha-stable stochastic volatility models," Econometrics Working Papers Archive wp2006_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
     • Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
       • Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2012. "Changes in Inflation Dynamics under Inflation Targeting? Evidence from Central European Countries," Working Papers 2012/04, Czech National Bank.
     • Neil Shephard & Michael K. Pitt, 1999. "Auxiliary variable based particle filters," Economics Series Working Papers 1999-W13, University of Oxford, Department of Economics.
     • Liesenfeld, Roman, 2001. "A generalized bivariate mixture model for stock price volatility and trading volume," Journal of Econometrics, Elsevier, vol. 104(1), pages 141-178, August.
     • Luca Rossi, 2020. "Indicators of uncertainty: a brief user’s guide," Questioni di Economia e Finanza (Occasional Papers) 564, Bank of Italy, Economic Research and International Relations Area.
     • Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
     • Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
       • Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75, Brandeis University, Department of Economics and International Business School.
       • Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
       • Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75R, Brandeis University, Department of Economics and International Business School, revised Jul 2016.
     • Grassi, S. & Proietti, T., 2014. "Characterising economic trends by Bayesian stochastic model specification search," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 359-374.
       • Grassi, Stefano & Proietti, Tommaso, 2010. "Characterizing economic trends by Bayesian stochastic model specifi cation search," MPRA Paper 22569, University Library of Munich, Germany.
       • Stefano Grassi & Tommaso Proietti, 2011. "Characterizing economic trends by Bayesian stochastic model specification search," CREATES Research Papers 2011-16, Department of Economics and Business Economics, Aarhus University.
       • Stefano Grassi & Tommaso Proietti, 2010. "Characterizing economic trends by Bayesian stochastic model specification search," EERI Research Paper Series EERI_RP_2010_25, Economics and Econometrics Research Institute (EERI), Brussels.
     • Potjagailo, Galina & Wolters, Maik H., 2023. "Global financial cycles since 1880," Journal of International Money and Finance, Elsevier, vol. 131(C).
       • Potjagailo, Galina & Wolters, Maik H., 2019. "Global financial cycles since 1880," Kiel Working Papers 2122, Kiel Institute for the World Economy (IfW Kiel).
       • Potjagailo, Galina & Wolters, Maik H, 2020. "Global financial cycles since 1880," Bank of England working papers 867, Bank of England.
       • Potjagailo, Galina & Wolters, Maik H., 2019. "Global financial cycles since 1880," IMFS Working Paper Series 132, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
     • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Large Vector Autoregressions with Asymmetric Priors," Working Papers 759, Queen Mary University of London, School of Economics and Finance.
       • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Large Vector Autoregressions with Asymmetric Priors," Working Papers 759, Queen Mary University of London, School of Economics and Finance.
     • Florian Huber & Gregor Kastner & Michael Pfarrhofer, 2025. "Introducing shrinkage in heavy-tailed state space models to predict equity excess returns," Empirical Economics, Springer, vol. 68(2), pages 535-553, February.
     • Selçuk, Faruk, 2004. "Free float and stochastic volatility: the experience of a small open economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(3), pages 693-700.
     • Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016. "Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors," Econometrics, MDPI, vol. 4(2), pages 1-27, April.
       • Xibin Zhang & Maxwell L. King & Han Lin Shang, 2013. "Bayesian bandwidth selection for a nonparametric regession model with mixed types of regressors," Monash Econometrics and Business Statistics Working Papers 13/13, Monash University, Department of Econometrics and Business Statistics.
     • Robert C. M. Beyer & Lazar Milivojevic, 2023. "Dynamics and synchronization of global equilibrium interest rates," Applied Economics, Taylor & Francis Journals, vol. 55(28), pages 3195-3214, June.
       • Beyer,Robert Carl Michael & Milivojevic,Lazar, 2020. "Dynamics and Synchronization of Global Equilibrium Interest Rates," Policy Research Working Paper Series 9489, The World Bank.
       • Beyer, Robert & Milivojevic, Lazar, 2021. "Dynamics and synchronization of global equilibrium interest rates," IMFS Working Paper Series 146, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
     • Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
     • Tamás Kiss & Stepan Mazur & Hoang Nguyen & Pär Österholm, 2023. "Modeling the relation between the US real economy and the corporate bond‐yield spread in Bayesian VARs with non‐Gaussian innovations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 347-368, March.
       • Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang & Österholm, Pär, 2021. "Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances," Working Papers 2021:9, Örebro University, School of Business.
     • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
       • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," Working Papers 21-02R, Federal Reserve Bank of Cleveland, revised 09 Aug 2021.
       • Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
       • Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
     • Prüser, Jan, 2017. "Forecasting US inflation using Markov dimension switching," Ruhr Economic Papers 710, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
     • Joris de Wind & Luca Gambetti, 2014. "Reduced-rank time-varying vector autoregressions," CPB Discussion Paper 270.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
     • Born, Benjamin & Pfeifer, Johannes, 2014. "Policy risk and the business cycle," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 68-85.
       • Born, Benjamin & Peifer, Johannes, 2011. "Policy Risk and the Business Cycle," Bonn Econ Discussion Papers 06/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
       • Benjamin Born & Johannes Pfeifer, 2013. "Policy Risk and the Business Cycle," CESifo Working Paper Series 4336, CESifo.
     • Czudaj, Robert L., 2019. "Crude oil futures trading and uncertainty," Energy Economics, Elsevier, vol. 80(C), pages 793-811.
       • Robert Czudaj, 2019. "Crude oil futures trading and uncertainty," Chemnitz Economic Papers 027, Department of Economics, Chemnitz University of Technology, revised Jan 2019.
     • Bauwens, L. & Bos, C.S. & van Dijk, H.K., 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Econometric Institute Research Papers TI 99-082/4, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
       • Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Tinbergen Institute Discussion Papers 99-082/4, Tinbergen Institute.
       • K. Van Dijk & Luc Bauwens & Charles Bos, 2000. "Adaptive Polar Sampling With An Application To A Bayes Measure Of Value-At-Risk," Computing in Economics and Finance 2000 145, Society for Computational Economics.
       • BAUWENS, Luc & BOS, Charles S. & VAN DIJK, Herman K., 1999. "Adaptive polar sampling with an application to a Bayes measure of value-at-risk," LIDAM Discussion Papers CORE 1999057, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
     • Zhang, Xibin & King, Maxwell L., 2008. "Box-Cox stochastic volatility models with heavy-tails and correlated errors," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 549-566, June.
       • Xibin Zhang & Maxwell L. King, 2004. "Box-Cox Stochastic Volatility Models with Heavy-Tails and Correlated Errors," Monash Econometrics and Business Statistics Working Papers 26/04, Monash University, Department of Econometrics and Business Statistics.
     • Hilde C. Bjørnland & Leif Anders Thorsrud, 2019. "Commodity prices and fiscal policy design: Procyclical despite a rule," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 161-180, March.
       • Hilde C. Bjørnland & Leif Anders Thorsrud, 2015. "Commodity prices and fiscal policy design: Procyclical despite a rule," Working Papers No 5/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
       • Hilde C. Bjornland & Leif Anders Thorsrud, 2016. "Commodity prices and fiscal policy design: Procyclical despite a rule," CAMA Working Papers 2016-27, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
     • Florian Huber & Gary Koop & Michael Pfarrhofer, 2020. "Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations," Papers 2002.10274, arXiv.org.
     • Yu, Jun & Yang, Zhenlin & Zhang, Xibin, 2006. "A class of nonlinear stochastic volatility models and its implications for pricing currency options," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2218-2231, December.
       • Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics.
     • Liao, Wenting & Ma, Jun & Zhang, Chengsi, 2024. "Commodity returns co-movement, uncertainty shocks, and the US dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 143(C).
     • Meddahi, N., 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
       • Nour Meddahi, 2001. "An Eigenfunction Approach for Volatility Modeling," CIRANO Working Papers 2001s-70, CIRANO.
       • MEDDAHI, Nour, 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Universite de Montreal, Departement de sciences economiques.
     • Charles Bos & Neil Shephard, 2006. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 219-244.
       • Charles S. Bos & Neil Shephard, 2004. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space form," Tinbergen Institute Discussion Papers 04-015/4, Tinbergen Institute.
       • Charles S. Bos & Neil Shephard, 2004. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Economics Papers 2004-W02, Economics Group, Nuffield College, University of Oxford.
     • Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
       • Martin Iseringhausen, 2021. "A time-varying skewness model for Growth-at-Risk," Working Papers 49, European Stability Mechanism.
     • Junji Shimada & Yoshihiko Tsukuda, 2004. "Estimation of Stochastic Volatility Models : An Approximation to the Nonlinear State Space," Econometric Society 2004 Far Eastern Meetings 611, Econometric Society.
     • Massimo Guidolin & Francesco Ravazzolo & Andrea Tortora, 2014. "Myths and Facts about the Alleged Over-Pricing of U.S. Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 477-523, November.
     • Joshua C.C. Chan & Rodney Strachan, 2014. "The Zero Lower Bound: Implications for Modelling the Interest Rate," Working Paper series 42_14, Rimini Centre for Economic Analysis.
     • Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
     • Jun Yu & Renate Meyer, 2006. "Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 361-384.
       • Jun Yu & Renate Meyer, 2004. "Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison," Working Papers 23-2004, Singapore Management University, School of Economics.
     • Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015. "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, vol. 12(C), pages 2-10.
     • Lin, Yi Chun, 2021. "Business cycle fluctuations in Taiwan — A Bayesian DSGE analysis," Journal of Macroeconomics, Elsevier, vol. 70(C).
     • Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Econometrics 0508015, University Library of Munich, Germany.
       • Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Working Papers 0505, VCU School of Business, Department of Economics.
     • Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
     • Almeida, Thiago Ramos, 2024. "Estimating time-varying factors’ variance in the string-term structure model with stochastic volatility," Research in International Business and Finance, Elsevier, vol. 70(PA).
     • McCAUSLAND, William, 2008. "The Hessian Method (Highly Efficient State Smoothing, In a Nutshell)," Cahiers de recherche 03-2008, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
       • McCAUSLAND, William, 2008. "The Hessian Method (Highly Efficient State Smoothing, In a Nutshell)," Cahiers de recherche 2008-03, Universite de Montreal, Departement de sciences economiques.
     • Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
     • Priddle, Jacob W. & Drovandi, Christopher, 2023. "Transformations in semi-parametric Bayesian synthetic likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).
     • Tomas Adam & Sona Benecka & Ivo Jansky, 2012. "Time-Varying Betas of Banking Sectors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(6), pages 485-504, December.
       • Tomáš Adam & Sona Benecká & Ivo Jánský, 2012. "Time-varying Betas of the Banking Sector," Working Papers IES 2012/23, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2012.
     • Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
     • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Nowcasting tail risk to economic activity at a weekly frequency," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 843-866, August.
       • Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea, 2021. "Nowcasting Tail Risk to Economic Activity at a Weekly Frequency," CEPR Discussion Papers 16496, C.E.P.R. Discussion Papers.
     • Mauro Bernardi & Daniele Bianchi & Nicolas Bianco, 2022. "Smoothing volatility targeting," Papers 2212.07288, arXiv.org.
     • repec:dau:papers:123456789/6066 is not listed on IDEAS
     • Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
     • Christian Bontemps & Nour Meddahi, 2012. "Testing distributional assumptions: A GMM aproach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 978-1012, September.
       • N. Meddahi & C. Bontemps, 2004. "Testing Distributional Assumptions: A GMM Approach," Econometric Society 2004 North American Winter Meetings 487, Econometric Society.
       • Christian Bontemps & Nour Meddahi, 2012. "Testing distributional assumptions: A GMM aproach," Post-Print hal-02875123, HAL.
       • Bontemps, Christian & Meddahi, Nour, 2007. "Testing Distributional Assumptions: A GMM Approach," IDEI Working Papers 486, Institut d'Économie Industrielle (IDEI), Toulouse.
     • Mikkelsen, Peter, 2003. "Estimating intractable non-linear term structure models," Finance Working Papers 02-7, University of Aarhus, Aarhus School of Business, Department of Business Studies.
     • Paras Sachdeva & Wasim Ahmad & N. R. Bhanumurthy, 2023. "Uncovering time variation in public expenditure multipliers: new evidence," Indian Economic Review, Springer, vol. 58(2), pages 445-483, September.
     • Hedibert F. Lopes & Nicholas G. Polson, 2016. "Particle Learning for Fat-Tailed Distributions," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1666-1691, December.
     • Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019. "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
       • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
       • Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
     • Massimo Guidolin & Francesco Ravazzolo & Andrea Donato Tortora, 2011. "Myths and Facts about the Alleged Over-Pricing of U.S. Real Estate. Evidence from Multi-Factor Asset Pricing Models of REIT Returns," Working Papers 416, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
       • Massimo Guidolin & Francesco Ravazzolo & Andrea Donato Tortora, 2011. "Myths and facts about the alleged over-pricing of U.S. real estate. Evidence from multi-factor asset pricing models of REIT returns," Working Paper 2011/19, Norges Bank.
     • Korobilis, Dimitris & Pettenuzzo, Davide, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," MPRA Paper 100165, University Library of Munich, Germany.
       • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Business School.
       • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Papers 2004.11486, arXiv.org.
       • Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 2020_09, Business School - Economics, University of Glasgow.
     • Raanju R. Sundararajan & Wagner Barreto‐Souza, 2023. "Student‐t stochastic volatility model with composite likelihood EM‐algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 125-147, January.
     • Nonejad, Nima, 2015. "Flexible model comparison of unobserved components models using particle Gibbs with ancestor sampling," Economics Letters, Elsevier, vol. 133(C), pages 35-39.
     • Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
       • Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2006. "Estimating Macroeconomic Models: A Likelihood Approach," Levine's Bibliography 122247000000000849, UCLA Department of Economics.
       • Rubio-Ramírez, Juan Francisco & Fernández-Villaverde, Jesús, 2006. "Estimating Macroeconomic Models: A Likelihood Approach," CEPR Discussion Papers 5513, C.E.P.R. Discussion Papers.
       • Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2006. "Estimating Macroeconomic Models: A Likelihood Approach," NBER Technical Working Papers 0321, National Bureau of Economic Research, Inc.
     • Tino Berger & Sibylle Grabert & Bernd Kempa, 2016. "Global and Country-Specific Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 694-716, October.
     • M. Pilar Muñoz & M. Dolores Marquez & Lesly M. Acosta, 2007. "Forecasting volatility by means of threshold models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(5), pages 343-363.
     • Karlsson, Sune & Österholm, Pär, 2018. "Is the US Phillips Curve Stable? Evidence from Bayesian VARs," Working Papers 2018:5, Örebro University, School of Business.
     • Malik, Sheheryar & Pitt, Michael K., 2009. "Modelling Stochastic Volatility with Leverage and Jumps: A Simulated Maximum Likelihood Approach via Particle Filtering," Economic Research Papers 271302, University of Warwick - Department of Economics.
     • Joshua C. C. Chan, 2017. "The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
       • Joshua C.C. Chan, 2015. "The Stochastic Volatility in Mean Model with Time-Varying Parameters: An Application to Inflation Modeling," CAMA Working Papers 2015-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
     • Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-641, June.
       • Alejandro Justiniano & Northwestern University, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," Computing in Economics and Finance 2006 219, Society for Computational Economics.
       • Giorgio Primiceri & Alejandro Justiniano, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," 2006 Meeting Papers 353, Society for Economic Dynamics.
       • Alejandro Justiniano & Giorgio E. Primiceri, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," NBER Working Papers 12022, National Bureau of Economic Research, Inc.
     • Roman Liesenfeld & Robert C. Jung, 2000. "Stochastic volatility models: conditional normality versus heavy-tailed distributions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(2), pages 137-160.
       • Liesenfeld, Roman & Jung, Robert C., 1997. "Stochastic volatility models: Conditional normality versus heavy tailed distributions," Tübinger Diskussionsbeiträge 103, University of Tübingen, School of Business and Economics.
     • Yakup ARI & Alexandros PAPADOPOULOS, 2016. "Bayesian Estimation Of The Parameters Of The Arch Model With Normal Innovations Using Lindley’S Approximation," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 217-234.
     • David Backus & Silverio Foresi & Liuren Wu, 2002. "Accouting for Biases in Black-Scholes," Finance 0207008, University Library of Munich, Germany.
     • Hernández, Juan R., 2020. "Covered Interest Parity: A Stochastic Volatility Approach to Estimate the Neutral Band," MPRA Paper 100744, University Library of Munich, Germany.
       • Hernández Juan R., 2020. "Covered Interest Parity: A Stochastic Volatility Approach to Estimate the Neutral Band," Working Papers 2020-02, Banco de México.
     • Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
       • Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
     • Liu, Zhenya & Wang, Shixuan, 2017. "Decoding Chinese stock market returns: Three-state hidden semi-Markov model," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 127-149.
       • Zhenya Liu & Shixuan Wang, 2017. "Decoding Chinese stock market returns: Three-state hidden semi-Markov model," Post-Print hal-01794384, HAL.
     • Yueh-Neng Lin & Ken Hung, 2008. "Is Volatility Priced?," Annals of Economics and Finance, Society for AEF, vol. 9(1), pages 39-75, May.
     • John M. Fry, 2009. "Statistical modelling of financial crashes: Rapid growth, illusion of certainty and contagion," EERI Research Paper Series EERI_RP_2009_10, Economics and Econometrics Research Institute (EERI), Brussels.
       • Fry, J. M., 2009. "Statistical modelling of financial crashes: Rapid growth, illusion of certainty and contagion," MPRA Paper 16027, University Library of Munich, Germany.
     • Chan, Joshua C.C. & Eisenstat, Eric & Strachan, Rodney W., 2020. "Reducing the state space dimension in a large TVP-VAR," Journal of Econometrics, Elsevier, vol. 218(1), pages 105-118.
     • Joshua C.C. Chan & Eric Eisenstat, 2015. "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers 2015-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
     • Avouyi-Dovi, S. & Horny, G. & Sevestre, P., 2017. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 74-94.
       • S. Avouyi-Dovi & G. Horny & P. Sevestre, 2015. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Working papers 547, Banque de France.
       • S. Avouyi-Dovi & G. Horny & Patrick Sevestre, 2017. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Post-Print hal-01657075, HAL.
       • Sanvi Avouyi-Dovi & Guillaume Horny & Patrick Sevestre, 2017. "The stability of short-term interest rates pass-through in the euro area during the financial market and sovereign debt crises," Working Papers hal-01511667, HAL.
     • Strickland, Chris M. & Forbes, Catherine S. & Martin, Gael M., 2006. "Bayesian analysis of the stochastic conditional duration model," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2247-2267, May.
       • Chris M. Strickland & Catherine S. Forbes & Gael M. Martin, 2003. "Bayesian Analysis of the Stochastic Conditional Duration Model," Monash Econometrics and Business Statistics Working Papers 14/03, Monash University, Department of Econometrics and Business Statistics.
     • Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36, Federal Reserve Bank of Cleveland.
       • Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers 2429, Banco de España.
       • Clark, Todd E. & Ganics, Gergely & Mertens, Elmar, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Discussion Papers 38/2024, Deutsche Bundesbank.
       • Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36R, Federal Reserve Bank of Cleveland.
     • M�rcio Poletti Laurini, 2014. "Dynamic functional data analysis with non-parametric state space models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(1), pages 142-163, January.
       • Márcio Laurini, 2012. "Dynamic Functional Data Analysis with Nonparametric State Space Models," IBMEC RJ Economics Discussion Papers 2012-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
     • Roman V. Ivanov, 2023. "On the Stochastic Volatility in the Generalized Black-Scholes-Merton Model," Risks, MDPI, vol. 11(6), pages 1-23, June.
     • N. Balakrishna & Bovas Abraham & Ranjini Sivakumar, 2006. "Gamma stochastic volatility models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(3), pages 153-171.
     • Haakon Kavli & Kevin Kotzé, 2014. "Spillovers in Exchange Rates and the Effects of Global Shocks on Emerging Market Currencies," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 209-238, June.
     • Lo Duca, Marco & Adam, Tomáš, 2017. "Modeling euro area bond yields using a time-varying factor model," Working Paper Series 2012, European Central Bank.
     • Zhao, Zhibiao, 2011. "Nonparametric model validations for hidden Markov models with applications in financial econometrics," Journal of Econometrics, Elsevier, vol. 162(2), pages 225-239, June.
     • Abanto-Valle, Carlos A. & Dey, Dipak K., 2014. "State space mixed models for binary responses with scale mixture of normal distributions links," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 274-287.
     • Siem Jan Koopman & Eugenie Hol Uspensky, 2002. "The stochastic volatility in mean model: empirical evidence from international stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689, December.
       • Siem Jan Koopman & Eugenie Hol Uspensky, 2002. "The stochastic volatility in mean model: empirical evidence from international stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689.
     • Gupta, Rangan & Ma, Jun & Theodoridis, Konstantinos & Wohar, Mark E., 2023. "Is there a national housing market bubble brewing in the United States?," Macroeconomic Dynamics, Cambridge University Press, vol. 27(8), pages 2191-2228, December.
       • Gupta, Rangan & Ma, Jun & Theodoridis, Konstantinos & Wohar, Mark E, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Cardiff Economics Working Papers E2020/3, Cardiff University, Cardiff Business School, Economics Section.
       • Rangan Gupta & Jun Ma & Konstantinos Theodoridis & Mark E. Wohar, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Working Papers 202023, University of Pretoria, Department of Economics.
     • Laurent-Emmanuel Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Working Papers hal-00625500, HAL.
       • Calvet, Laurent-Emmanuel & Czellar , Veronika, 2011. "state-observation sampling and the econometrics of learning models," HEC Research Papers Series 947, HEC Paris.
       • Laurent E. Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Papers 1105.4519, arXiv.org.
     • Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
     • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2017. "Oil currencies in the face of oil shocks: what can be learned from time-varying specifications?," Applied Economics, Taylor & Francis Journals, vol. 49(18), pages 1774-1793, April.
       • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2015. "Oil currencies in the face of oil shocks: What can be learned from time-varying specifications?," Post-Print hal-01411817, HAL.
       • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2015. "Oil currencies in the face of oil shocks: What can be learned from time-varying specifications?," EconomiX Working Papers 2015-38, University of Paris Nanterre, EconomiX.
       • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2015. "Oil currencies in the face of oil shocks: What can be learned from time-varying specifications?," Post-Print hal-01411812, HAL.
       • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2015. "Oil currencies in the face of oil shocks: What can be learned from time-varying specifications?," Working Papers hal-04141379, HAL.
       • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2015. "Oil currencies in the face of oil shocks: What can be learned from time-varying specifications?," Working Papers 2015-18, CEPII research center.
       • Jean-Pierre Allegret & Cécile Couharde & Valérie Mignon & Tovonony Razafindrabe, 2017. "Oil currencies in the face of oil shocks: what can be learned from time-varying specifications?," Post-Print hal-01589267, HAL.
     • Li, Dan & Clements, Adam & Drovandi, Christopher, 2021. "Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo," Econometrics and Statistics, Elsevier, vol. 19(C), pages 22-46.
       • Dan Li & Adam Clements & Christopher Drovandi, 2019. "Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo," Papers 1906.03828, arXiv.org, revised Mar 2020.
     • Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
     • Marente Vlekke & Martin Mellens, 2020. "An assessment of the Phillips curve over time: evidence for the United States and the euro area," CPB Discussion Paper 416.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
     • Berger, Tino & Everaert, Gerdie & Vierke, Hauke, 2016. "Testing for time variation in an unobserved components model for the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 179-208.
       • Tino Berger & Gerdie Everaert & Hauke Vierke, 2015. "Testing for time variation in an unobserved components model for the U.S. economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/903, Ghent University, Faculty of Economics and Business Administration.
     • Yuta Kurose & Yasuhiro Omori, 2012. "Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline," CIRJE F-Series CIRJE-F-845, CIRJE, Faculty of Economics, University of Tokyo.
     • McCAUSLAND, William J. & MILLER, Shirley & PELLETIER, Denis, 2007. "A New Approach to Drawing States in State Space Models," Cahiers de recherche 07-2007, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
       • William J. McCausland & Shirley Miller & Denis Pelletier, 2007. "A New Approach to Drawing States in State Space Models," Working Paper Series 014, North Carolina State University, Department of Economics, revised Aug 2007.
       • McCAUSLAND, William J. & MILLER, Shirley & PELLETIER, Denis, 2007. "A New Approach to Drawing States in State Space Models," Cahiers de recherche 2007-06, Universite de Montreal, Departement de sciences economiques.
     • Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
       • Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
     • Wei Zhou, 2017. "Dynamic and Asymmetric Contagion Reactions of Financial Markets During the Last Subprime Crisis," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 207-230, August.
     • Bollerslev, Tim & Zhou, Hao, 2002. "Estimating stochastic volatility diffusion using conditional moments of integrated volatility," Journal of Econometrics, Elsevier, vol. 109(1), pages 33-65, July.
       • Tim Bollerslev & Hao Zhou, 2001. "Estimating stochastic volatility diffusion using conditional moments of integrated volatility," Finance and Economics Discussion Series 2001-49, Board of Governors of the Federal Reserve System (U.S.).
     • Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
       • Vegard H. Larsen & Leif Anders Thorsrud, 2019. "Business Cycle Narratives," CESifo Working Paper Series 7468, CESifo.
       • Vegard H. Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Paper 2018/3, Norges Bank.
     • Anders Johansson, 2009. "Stochastic volatility and time-varying country risk in emerging markets," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 337-363.
     • Chan, Joshua C.C. & Grant, Angelia L., 2016. "Modeling energy price dynamics: GARCH versus stochastic volatility," Energy Economics, Elsevier, vol. 54(C), pages 182-189.
       • Joshua C.C. Chan & Angelia L. Grant, 2015. "Modeling energy price dynamics: GARCH versus stochastic volatility," CAMA Working Papers 2015-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
     • Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar, 2022. "Dynamic Spatiotemporal ARCH Models," Papers 2202.13856, arXiv.org.
     • Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2004. "Likelihood-Based Estimation of Latent Generalized ARCH Structures," Econometrica, Econometric Society, vol. 72(5), pages 1481-1517, 09.
       • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
       • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
       • Nolte, Stephan & Grethe, Harald, 2010. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60.
       • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
       • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
       • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
       • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
       • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
       • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
       • Ruttan, Vernon W., 1977. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 2(3), pages 196-216, August.
       • Senauer, Benjamin, 1989. "Major Consumer Trends Affecting the U.S. Food System," Choices, Agricultural and Applied Economics Association, vol. 4(4).
       • Clement A. Tisdell, 2007. "Sustainable Agriculture," Chapters, in: Handbook of Sustainable Development, chapter 22 Edward Elgar Publishing.
       • Thomas Grebel & Andreas Pyka & Horst Hanusch, 2003. "An Evolutionary Approach to the Theory of Entrepreneurship," Industry and Innovation, Taylor & Francis Journals, vol. 10(4), pages 493-514.
       • Friebel, Guido & Schnedler, Wendelin, 2011. "Team governance: Empowerment or hierarchical control," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 1-13, April.
       • Llavador, Humberto & Solano-García, Angel, 2011. "Immigration policy with partisan parties," Journal of Public Economics, Elsevier, vol. 95(1), pages 134-142.
       • Brañas-Garza, Pablo & Espinosa, María Paz & Rey-Biel, Pedro, 2011. "Travelers’ types," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1), pages 25-36.
       • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
       • Jordi Galí & Luca Gambetti, 2013. "The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence," NBER Chapters, in: Lessons from the Financial Crisis for Monetary Policy National Bureau of Economic Research, Inc.
       • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, 06.
       • Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
       • Jordi Galí & Frank Smets & Rafael Wouters, 2011. "Unemployment in an Estimated New Keynesian Model," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 329-360 National Bureau of Economic Research, Inc.
       • Broner, Fernando & Gelos, Gaston & Reinhart, Carmen, 2004. "When in peril, retrench: testing the portfolio channel of contagion," Proceedings, Federal Reserve Bank of San Francisco, issue Jun, pages 1-34.
       • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
       • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
       • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
       • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
       • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
       • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
       • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
       • Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
       • Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
       • Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
       • Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
       • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
       • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
       • Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
       • Kenji Nishizaki & Toshitaka Sekine & Yuichi Ueno & Yuko Kawai, 2013. "Chronic deflation in Japan," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 9-19 Bank for International Settlements.
       • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
       • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
       • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
       • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
       • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
       • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
       • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
       • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
       • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
       • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
       • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 53-61, December.
       • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
       • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
       • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 44-53, 05.
       • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 35-42, 08.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
       • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
       • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
       • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
       • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
       • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
       • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
       • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
       • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
       • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
       • Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-57, January.
       • Facchini, Giovanni & Steinhardt, Max Friedrich, 2011. "What drives U.S. immigration policy? Evidence from congressional roll call votes," Journal of Public Economics, Elsevier, vol. 95(7), pages 734-743.
       • Davide Castellani & Giorgia Giovannetti, 2010. "Productivity and the international firm: dissecting heterogeneity," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 13(1), pages 25-42.
       • Artjoms Ivlevs & Jaime De Melo, 2010. "FDI, the Brain Drain and Trade: Channels and Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 103-121.
       • Julien Gourdon & Nicolas Maystre & Jaime de Melo, 2008. "Openness, inequality and poverty: Endowments matter," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 343-378.
       • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
       • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
       • Lars E. O. Svensson & Michael Woodford, 2000. "Indicator variables for optimal policy," Proceedings, Federal Reserve Bank of San Francisco.
       • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
       • Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 872-912, 06.
       • Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages C25-C44, February.
       • Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117 National Bureau of Economic Research, Inc.
       • Christian Dreger & Hans-Eggert Reimers & Barbara Roffia, 2007. "Long-Run Money Demand in the New EU Member States with Exchange Rate Effects," Eastern European Economics, Taylor & Francis Journals, vol. 45(2), pages 75-94, April.
       • Christian Daude & Marcel Fratzscher, 2007. "The pecking order of cross-border investment," CGFS Papers chapters, in: Bank for International Settlements (ed.), Research on global financial stability: the use of BIS international financial statistics, volume 29, pages 53-89 Bank for International Settlements.
       • Reint Gropp & Jukka M. Vesala & Giuseppe Vulpes, 2002. "Equity and bond market signals as leading indicators of bank fragility," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
       • Kalin Nikolov, 2012. "Bubbles, banks and financial stability," Research Bulletin, European Central Bank, vol. 15, pages 2-6.
       • Forbes, Kristin J. & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2012. "Bubble thy neighbor: portfolio effects and externalities from capital controls," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 1-48.
       • Marcel Fratzscher, 2012. "Capital Controls and Foreign Exchange Policy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 66-98, August.
       • Geert Bekaert & Marie Hoerova, 2010. "Risk, uncertainty and monetary policy," Research Bulletin, European Central Bank, vol. 10, pages 11-13.
       • António Afonso & João Tovar Jalles, 2013. "Fiscal Composition and Long-term Growth," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
       • Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages C45-C90, 02.
       • Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis National Bureau of Economic Research, Inc.
       • Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
       • Elena Bobeica & Paulo Esteves & António Rua & Karsten Staehr, 2016. "Exports and domestic demand pressure: a dynamic panel data model for the euro area countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 107-125, February.
       • Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
       • Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
       • Pierpaolo Benigno & Michael Woodford, 2003. "Optimal monetary and fiscal policy: a linear-quadratic approach," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
       • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
       • Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
       • Fabrice Collard & Harris Dellas, 2003. "The great inflation of the 1970s," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
       • Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
       • Stephen Bond & Dietmar Harhoff & John Van Reenen, 2005. "Investment, R&D and Financial Constraints in Britain and Germany," Annals of Economics and Statistics, GENES, issue 79-80, pages 433-460.
       • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
       • Francesco Caselli & Silvana Tenreyro, 2004. "Is Poland the next Spain?," Communities and Banking, Federal Reserve Bank of Boston.
       • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
       • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
       • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
       • Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, 09.
       • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
       • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
       • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
       • Jo Blanden & Stephen Machin, 2004. "Educational Inequality and the Expansion of UK Higher Education," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 230-249, 05.
       • Anthony J. Venables, 2006. "Shifts in economic geography and their causes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 15-39.
       • Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
       • Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, 06.
       • Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
       • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
       • Richard Freeman & John Van Reenen, 2009. "What if Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38 National Bureau of Economic Research, Inc.
       • Richard Perkins & Eric Neumayer, 2010. "Geographic variations in the early diffusion of corporate voluntary standards: comparing ISO 14001 and the Global Compact," Environment and Planning A, Pion Ltd, London, vol. 42(2), pages 347-365, February.
       • Richard B. Freeman, 2007. "When Workers Share in Profits: Effort and Responses to Shirking," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 9-36, November-.
       • Robert C. Allen & Jean‐Pascal Bassino & Debin Ma & Christine Moll‐Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64(s1), pages 8-38, February.
       • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
       • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
       • Nancy Holman & Gabriel M Ahlfeldt, 2015. "No escape? The coordination problem in heritage preservation," Environment and Planning A, Pion Ltd, London, vol. 47(1), pages 172-187, January.
       • Paul Beaudry & David A. Green & Benjamin M. Sand, 2013. "The Great Reversal in the Demand for Skill and Cognitive Tasks," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 199-247 National Bureau of Economic Research, Inc.
       • Giuseppe Moscarini & Fabien Postel-Vinay, 2013. "Did the Job Ladder Fail after the Great Recession?," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 55-93 National Bureau of Economic Research, Inc.
       • Nuno Ferreira da Cruz & Pedro Simões & Rui Cunha Marques, 2013. "The hurdles of local governments with PPP contracts in the waste sector," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 31(2), pages 292-307, April.
       • Eric Neumayer & Peter Nunnenkamp & Martin Roy, 2016. "Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 177-213, February.
       • Joseph Seidel & Yang Xu, 2016. "MHTEXP: Stata module to perform multiple hypothesis testing correction procedure," Statistical Software Components S458153, Boston College Department of Economics.
       • Heike Hennig-Schmidt & Bettina Rockenbach & Abdolkarim Sadrieh, 2010. "In Search Of Workers' Real Effort Reciprocity-A Field and a Laboratory Experiment," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 817-837, 06.
       • Karlan, Dean & List, John A. & Shafir, Eldar, 2011. "Small matches and charitable giving: Evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 344-350.
       • Matthew T. Cole & Amélie Guillin, 2015. "The determinants of trade agreements in services vs. goods," International Economics, CEPII research center, issue 144, pages 66-82.
       • Yilmazkuday, Hakan, 2016. "Forecasting the Great Trade Collapse," International Economics, Elsevier, vol. 147(C), pages 145-154.
       • Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
       • Georgy Idrisov & Mikhail Khromov & Evgeny Goryunov & Alexander Knobel & Yuri Ponomarev & Alexander Deryugin & Julia Florinskaya & Nikita Mkrtchan, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 16, pages 1-26, November.
       • Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
       • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
       • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
       • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
       • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
       • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
       • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
       • Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
       • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
       • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
       • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
       • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
       • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
       • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
       • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
       • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
       • Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
       • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
       • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
       • Loginov D. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Goryunov Evgeny & Kiyutsevskaya Anna & Larionova M. & Sakharov A. & Shelepov A. & Avraamova A., 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 29, pages 1-26, June.
       • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
       • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
       • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
       • Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
       • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
       • Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 18, pages 1-26, December.
       • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
       • Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
       • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
       • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Ru
       • Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2022. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," The Journal of Real Estate Finance and Economics, Springer, vol. 64(4), pages 523-545, May.
         • Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2020. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," Working Papers 202077, University of Pretoria, Department of Economics.
       • Wang, Nianling & Yin, Jiyuan & Li, Yong, 2024. "Economic policy uncertainty and stock market volatility in China: Evidence from SV-MIDAS-t model," International Review of Financial Analysis, Elsevier, vol. 92(C).
       • Valeria V. Lakshina, 2014. "The Fluke Of Stochastic Volatility Versus Garch Inevitability : Which Model Creates Better Forecasts?," HSE Working papers WP BRP 37/FE/2014, National Research University Higher School of Economics.
       • Marek Jarociński & Michele Lenza, 2018. "An Inflation‐Predicting Measure of the Output Gap in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1189-1224, September.
         • Lenza, Michele & Jarociński, Marek, 2016. "An inflation-predicting measure of the output gap in the euro area," Working Paper Series 1966, European Central Bank.
       • Süleyman Taşpınar & Osman DoĞan & Jiyoung Chae & Anil K. Bera, 2021. "Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1243-1272, October.
       • Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
         • Fabian Kr ger & Todd E. Clark & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers No 8/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
         • Krüger, Fabian & Clark, Todd E. & Ravazzolo, Francesco, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113077, Verein für Socialpolitik / German Economic Association.
         • Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
       • Liu, Yuelin & Morley, James, 2014. "Structural evolution of the postwar U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
         • Yuelin Liu & James Morley, 2013. "Structural Evolution of the Postwar U.S. Economy," Discussion Papers 2013-15A, School of Economics, The University of New South Wales.
       • Font, Begoña, 1998. "Modelización de series temporales financieras. Una recopilación," DES - Documentos de Trabajo. Estadística y Econometría. DS 3664, Universidad Carlos III de Madrid. Departamento de Estadística.
       • M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
         • Mustafa Hakan Eratalay, 2012. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," EUSP Department of Economics Working Paper Series Ec-04/12, European University at St. Petersburg, Department of Economics.
       • Timmermann, Allan, 2018. "Forecasting Methods in Finance," CEPR Discussion Papers 12692, C.E.P.R. Discussion Papers.
       • Follett, Lendie & Yu, Cindy, 2019. "Achieving parsimony in Bayesian vector autoregressions with the horseshoe prior," Econometrics and Statistics, Elsevier, vol. 11(C), pages 130-144.
       • John M Maheu & Thomas H McCurdy, 2007. "Modeling foreign exchange rates with jumps," Working Papers tecipa-279, University of Toronto, Department of Economics.
       • Eric Eisenstat & Joshua C. C. Chan & Rodney W. Strachan, 2016. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1638-1665, December.
         • Eric Eisenstat & Joshua C.C. Chan & Rodney Strachan, 2014. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Working Paper series 44_14, Rimini Centre for Economic Analysis.
         • Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2014. "Stochastic Model Specification Search for Time-Varying Parameter VARs," CAMA Working Papers 2014-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
         • Michael Pfarrhofer, 2021. "Modeling tail risks of inflation using unobserved component quantile regressions," Papers 2103.03632, arXiv.org, revised Oct 2021.
       • Drew Creal, 2012. "A Survey of Sequential Monte Carlo Methods for Economics and Finance," Econometric Reviews, Taylor & Francis Journals, vol. 31(3), pages 245-296.
         • Creal, D., 2009. "A survey of sequential Monte Carlo methods for economics and finance," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
       • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series) 1617, Federal Reserve Bank of Cleveland.
       • Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
         • Jurgen A. Doornik & David F. Hendry & Neil Shephard, . "Computationally-intensive Econometrics using a Distributed Matrix-programming Language," Economics Papers 2001-W22, Economics Group, Nuffield College, University of Oxford.
       • Mateus Joffily & Giorgio Coricelli, 2013. "Emotional valence and the free-energy principle," Post-Print halshs-00862392, HAL.
         • Mateus Joffily & Giorgio Coricelli, 2013. "Emotional Valence and the Free-Energy Principle," Post-Print halshs-00834063, HAL.
       • Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
       • Omori, Yasuhiro & Watanabe, Toshiaki, 2008. "Block sampler and posterior mode estimation for asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2892-2910, February.
         • Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models," CIRJE F-Series CIRJE-F-507, CIRJE, Faculty of Economics, University of Tokyo.
       • Yunjong Eo & Chang-Jin Kim, 2016. "Markov-Switching Models with Evolving Regime-Specific Parameters: Are Postwar Booms or Recessions All Alike?," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 940-949, December.
         • Eo, Yunjong & Kim, Chang-Jin, 2012. "Markov-Switching Models with Evolving Regime-Specific Parameters: Are Post-War Booms or Recessions All Alike?," Working Papers 2012-04, University of Sydney, School of Economics.
       • Rafael Nivin Valdiviezo, 2019. "Medidas alternativas de volatilidad en el mercado de valores peruano," Revista de Análisis Económico y Financiero, Universidad de San Martín de Porres, vol. 1(03), pages 07-14.
       • Zhang, Xibin & King, Maxwell L. & Shang, Han Lin, 2014. "A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 218-234.
         • Xibin Zhang & Maxwell L. King & Han Lin Shang, 2013. "A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 20/13, Monash University, Department of Econometrics and Business Statistics.
       • Daniel R. Kowal & David S. Matteson & David Ruppert, 2019. "Functional Autoregression for Sparsely Sampled Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 97-109, January.
       • Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
         • Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
       • Tse, Y.K. & Zhang, Bill & Yu, Jun, 2002. "Estimation of Hyperbolic Diffusion using MCMC Method," Working Papers 182, Department of Economics, The University of Auckland.
         • Y.K. Tse & Xibin Zhang & Jun Yu, 2002. "Estimation of Hyperbolic Diffusion Using MCMC Method," Monash Econometrics and Business Statistics Working Papers 18/02, Monash University, Department of Econometrics and Business Statistics.
       • Danielsson, Jon, 1998. "Multivariate stochastic volatility models: Estimation and a comparison with VGARCH models," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 155-173, June.
       • Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
         • Koopman, S.J.M. & Shephard, N. & Doornik, J.A., 1998. "Statistical Algorithms for Models in State Space Using SsfPack 2.2," Discussion Paper 1998-141, Tilburg University, Center for Economic Research.
         • Koopman, S.J.M. & Shephard, N. & Doornik, J.A., 1998. "Statistical Algorithms for Models in State Space Using SsfPack 2.2," Other publications TiSEM 8fe36759-6517-4c66-86fa-e, Tilburg University, School of Economics and Management.
       • Flavio Pérez Rojo & Gabriel Rodríguez, 2023. "Jane Haldimand Marcet: Impact of Monetary Policy Shocks in the Peruvian Economy Over Time," Documentos de Trabajo / Working Papers 2023-523, Departamento de Economía - Pontificia Universidad Católica del Perú.
       • Michael P. Clements & David F. Hendry, 2005. "Guest Editors’ Introduction: Information in Economic Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 713-753, December.
       • Francis X. Diebold & Jose A. Lopez, 1995. "Measuring Volatility Dynamics," NBER Technical Working Papers 0173, National Bureau of Economic Research, Inc.
       • Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2021. "Bayesian estimation for a semiparametric nonlinear volatility model," Economic Modelling, Elsevier, vol. 98(C), pages 361-370.
       • Smith, A. Lee & Valcarcel, Victor J., 2023. "The financial market effects of unwinding the Federal Reserve’s balance sheet," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
         • Andrew Lee Smith & Victor J. Valcarcel, 2021. "The Financial Market Effects of Unwinding the Federal Reserve’s Balance Sheet," Research Working Paper RWP 20-23, Federal Reserve Bank of Kansas City.
       • Anastasios Panagiotelis & Michael S. Smith & Peter J. Danaher, 2014. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence, and Visit Behavior," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 14-29, January.
         • Anastasios Panagiotelis & Michael S. Smith & Peter J Danaher, 2013. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence and Visit Behavior," Monash Econometrics and Business Statistics Working Papers 5/13, Monash University, Department of Econometrics and Business Statistics.
       • Kelly Trinh & Bo Zhang & Chenghan Hou, 2025. "Macroeconomic real‐time forecasts of univariate models with flexible error structures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 59-78, January.
       • Marente Vlekke & Martin Mellens & Siem Jan Koopmans, 2020. "An assessment of the Phillips curve over time: evidence for the United States and the euro area," CPB Discussion Paper 416, CPB Netherlands Bureau for Economic Policy Analysis.
       • Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
       • Andreas Stadie, 2003. "Detecting periods in which a time series model fails to predict the observed volatility," Computational Statistics, Springer, vol. 18(3), pages 375-386, September.
       • Roman Liesenfeld & Jean-Francois Richard, 2006. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 335-360.
         • Liesenfeld, Roman & Richard, Jean-François, 2004. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Economics Working Papers 2004-12, Christian-Albrechts-University of Kiel, Department of Economics.
       • Chiu Adrian & Wieladek Tomasz, 2013. "Is the “Great Recession” really so different from the past?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1037-1084, October.
         • Chiu, Adrian & Wieladek, Tomasz, 2015. "Is the ‘Great Recession’ really so different from the past?," Discussion Papers 40, Monetary Policy Committee Unit, Bank of England.
       • Antonis Demos, 2023. "Estimation of Asymmetric Stochastic Volatility in Mean Models," DEOS Working Papers 2309, Athens University of Economics and Business.
       • Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2009. "On the evolution of the monetary policy transmission mechanism," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 997-1017, April.
       • Gorynin, Ivan & Derrode, Stéphane & Monfrini, Emmanuel & Pieczynski, Wojciech, 2017. "Fast smoothing in switching approximations of non-linear and non-Gaussian models," Computational Statistics & Data Analysis, Elsevier, vol. 114(C), pages 38-46.
       • van der Sluis Pieter J., 1997. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-20, October.
         • Pieter J. van der Sluis, 1998. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Tinbergen Institute Discussion Papers 98-021/4, Tinbergen Institute.
       • Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
       • Matteo Pelagatti & Giacomo Sbrana, 2020. "Estimating high dimensional multivariate stochastic volatility models," Working Papers 428, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
       • Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2008. "Determinants of bid and ask quotes and implications for the cost of trading," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 656-678, September.
       • Hu, Shuowen & Poskitt, D.S. & Zhang, Xibin, 2012. "Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 732-740.
         • Shuowen Hu & D.S. Poskitt & Xibin Zhang, 2010. "Bayesian Adaptive Bandwidth Kernel Density Estimation of Irregular Multivariate Distributions," Monash Econometrics and Business Statistics Working Papers 21/10, Monash University, Department of Econometrics and Business Statistics.
       • Ozturk, Ezgi O. & Sheng, Xuguang Simon, 2018. "Measuring global and country-specific uncertainty," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 276-295.
         • Ezgi O. Ozturk & Xuguang Simon Sheng, 2017. "Measuring Global and Country-Specific Uncertainty," IMF Working Papers 2017/219, International Monetary Fund.
       • Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
       • Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
       • Davide Raggi & Silvano Bordignon, 2011. "Volatility, Jumps, and Predictability of Returns: A Sequential Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 30(6), pages 669-695.
         • S. Bordignon & D. Raggi, 2008. "Volatility, Jumps and Predictability of Returns: a Sequential Analysis," Working Papers 636, Dipartimento Scienze Economiche, Universita' di Bologna.
       • Li, Mengheng & Mendieta-Muñoz, Ivan, 2024. "Dynamic hysteresis effects," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
         • Ivan Mendieta-Muñoz, 2024. "Time-varying investment dynamics in the USA," Working Paper Series, Department of Economics, University of Utah 2024_01, University of Utah, Department of Economics.
       • Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
       • Hauzenberger Niko & Huber Florian & Koop Gary, 2024. "Dynamic Shrinkage Priors for Large Time-Varying Parameter Regressions Using Scalable Markov Chain Monte Carlo Methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 201-225, April.
         • Niko Hauzenberger & Florian Huber & Gary Koop, "undated". "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Working Papers 2305, University of Strathclyde Business School, Department of Economics.
         • Niko Hauzenberger & Florian Huber & Gary Koop, 2020. "Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods," Papers 2005.03906, arXiv.org, revised May 2023.
       • Benjamin Wong, 2013. "The Evolution of the U.S. Output-Inflation Tradeoff," CAMA Working Papers 2013-70, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
       • Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
       • Dwyer, Gerald Jr. & Williams, K. B., 2003. "Portable random number generators," Journal of Economic Dynamics and Control, Elsevier, vol. 27(4), pages 645-650, February.
         • Gerald P. Dwyer & K. B. Williams, 1999. "Portable random number generators," FRB Atlanta Working Paper 99-14, Federal Reserve Bank of Atlanta.
       • Jamie L. Cross & Aubrey Poon, 2020. "On the contribution of international shocks in Australian business cycle fluctuations," Empirical Economics, Springer, vol. 59(6), pages 2613-2637, December.
       • Boguth, Oliver & Carlson, Murray & Fisher, Adlai & Simutin, Mikhail, 2011. "Conditional risk and performance evaluation: Volatility timing, overconditioning, and new estimates of momentum alphas," Journal of Financial Economics, Elsevier, vol. 102(2), pages 363-389.
       • David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
       • Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
       • Antonello D'Agostino & Paolo Surico, 2012. "A Century of Inflation Forecasts," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1097-1106, November.
         • Surico, Paolo & ,, 2011. "A Century of Inflation Forecasts," CEPR Discussion Papers 8292, C.E.P.R. Discussion Papers.
       • Peter Reinhard Hansen & Zhuo Huang & Chen Tong & Tianyi Wang, 2024. "Realized GARCH, CBOE VIX, and the Volatility Risk Premium," Journal of Financial Econometrics, Oxford University Press, vol. 22(1), pages 187-223.
         • Peter Reinhard Hansen & Zhuo Huang & Chen Tong & Tianyi Wang, 2021. "Realized GARCH, CBOE VIX, and the Volatility Risk Premium," Papers 2112.05302, arXiv.org.
       • Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
         • Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," CIRJE F-Series CIRJE-F-514, CIRJE, Faculty of Economics, University of Tokyo.
       • Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
         • Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
       • Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Discussion Paper Series 2024_02, Department of Economics, University of Macedonia, revised Feb 2024.
         • Theodore Panagiotidis & Georgios Papapanagiotou, 2024. "A note on the determinants of NFTs returns," Working Paper series 24-07, Rimini Centre for Economic Analysis.
       • Dani Gamerman & Thiago Rezende Santos & Glaura C. Franco, 2013. "A Non-Gaussian Family Of State-Space Models With Exact Marginal Likelihood," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(6), pages 625-645, November.
       • Siem Jan Koopman & Charles S. Bos, 2002. "Time Series Models with a Common Stochastic Variance for Analysing Economic Time Series," Tinbergen Institute Discussion Papers 02-113/4, Tinbergen Institute.
       • Christian Bontemps, 2019. "Moment-Based Tests under Parameter Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 101(1), pages 146-159, March.
         • Bontemps, Christian, 2018. "Moment-based tests under parameter uncertainty," IDEI Working Papers 18-883, Institut d'Économie Industrielle (IDEI), Toulouse.
         • Christian Bontemps, 2019. "Moment-Based Tests under Parameter Uncertainty," Post-Print hal-02004687, HAL.
       • Christiane Baumeister & Gert Peersman, 2013. "Time-Varying Effects of Oil Supply Shocks on the US Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(4), pages 1-28, October.
         • C. Baumeister & G. Peersman, 2008. "Time-Varying Effects of Oil Supply Shocks on the US Economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/515, Ghent University, Faculty of Economics and Business Administration.
         • Christiane Baumeister & Gert Peersman, 2012. "Time-Varying Effects of Oil Supply Shocks on the U.S. Economy," Staff Working Papers 12-2, Bank of Canada.
         • Gert Peersman & Christiane Baumeister, 2009. "Time-Varying Effects of Oil Supply Shocks on the US Economy," 2009 Meeting Papers 171, Society for Economic Dynamics.
       • M. Angeles Carnero, 2004. "Persistence and Kurtosis in GARCH and Stochastic Volatility Models," Journal of Financial Econometrics, Oxford University Press, vol. 2(2), pages 319-342.
       • Michael K Pitt & Neil Shephard, "undated". "Filtering via simulation: auxiliary particle filters," Economics Papers 1997-W13, Economics Group, Nuffield College, University of Oxford.
       • Davide Pettenuzzo & Riccardo Sabbatucci & Allan Timmermann, 2018. "High-frequency Cash Flow Dynamics," Working Papers 120, Brandeis University, Department of Economics and International Business School.
       • Gerlach, Richard & Tuyl, Frank, 2006. "MCMC methods for comparing stochastic volatility and GARCH models," International Journal of Forecasting, Elsevier, vol. 22(1), pages 91-107.
       • Bédard, Mylène, 2017. "Hierarchical models: Local proposal variances for RWM-within-Gibbs and MALA-within-Gibbs," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 231-246.
       • Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "On the Evolution of Monetary Policy," Working Paper series 24_08, Rimini Centre for Economic Analysis.
       • Clive Bowsher, 2002. "Modelling Security Market Events in Continuous Time: Intensity based, Multivariate Point Process Models," Economics Series Working Papers 2002-W22, University of Oxford, Department of Economics.
       • Charles Bos & Neil Shephard, 2006. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 219-244.
         • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
         • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
         • Nolte, Stephan & Grethe, Harald, 2010. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60.
         • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
         • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
         • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
         • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
         • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
         • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
         • Ruttan, Vernon W., 1977. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 2(3), pages 196-216, August.
         • Senauer, Benjamin, 1989. "Major Consumer Trends Affecting the U.S. Food System," Choices, Agricultural and Applied Economics Association, vol. 4(4).
         • Clement A. Tisdell, 2007. "Sustainable Agriculture," Chapters, in: Handbook of Sustainable Development, chapter 22 Edward Elgar Publishing.
         • Thomas Grebel & Andreas Pyka & Horst Hanusch, 2003. "An Evolutionary Approach to the Theory of Entrepreneurship," Industry and Innovation, Taylor & Francis Journals, vol. 10(4), pages 493-514.
         • Friebel, Guido & Schnedler, Wendelin, 2011. "Team governance: Empowerment or hierarchical control," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 1-13, April.
         • Llavador, Humberto & Solano-García, Angel, 2011. "Immigration policy with partisan parties," Journal of Public Economics, Elsevier, vol. 95(1), pages 134-142.
         • Brañas-Garza, Pablo & Espinosa, María Paz & Rey-Biel, Pedro, 2011. "Travelers’ types," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1), pages 25-36.
         • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
         • Jordi Galí & Luca Gambetti, 2013. "The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence," NBER Chapters, in: Lessons from the Financial Crisis for Monetary Policy National Bureau of Economic Research, Inc.
         • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, 06.
         • Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
         • Jordi Galí & Frank Smets & Rafael Wouters, 2011. "Unemployment in an Estimated New Keynesian Model," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 329-360 National Bureau of Economic Research, Inc.
         • Broner, Fernando & Gelos, Gaston & Reinhart, Carmen, 2004. "When in peril, retrench: testing the portfolio channel of contagion," Proceedings, Federal Reserve Bank of San Francisco, issue Jun, pages 1-34.
         • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
         • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
         • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
         • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
         • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
         • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
         • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
         • Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
         • Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
         • Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
         • Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
         • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
         • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
         • Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
         • Kenji Nishizaki & Toshitaka Sekine & Yuichi Ueno & Yuko Kawai, 2013. "Chronic deflation in Japan," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 9-19 Bank for International Settlements.
         • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
         • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
         • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
         • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
         • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
         • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
         • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
         • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
         • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
         • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
         • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 53-61, December.
         • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
         • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
         • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 44-53, 05.
         • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 35-42, 08.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
         • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
         • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
         • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
         • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
         • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
         • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
         • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
         • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
         • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
         • Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-57, January.
         • Facchini, Giovanni & Steinhardt, Max Friedrich, 2011. "What drives U.S. immigration policy? Evidence from congressional roll call votes," Journal of Public Economics, Elsevier, vol. 95(7), pages 734-743.
         • Davide Castellani & Giorgia Giovannetti, 2010. "Productivity and the international firm: dissecting heterogeneity," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 13(1), pages 25-42.
         • Artjoms Ivlevs & Jaime De Melo, 2010. "FDI, the Brain Drain and Trade: Channels and Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 103-121.
         • Julien Gourdon & Nicolas Maystre & Jaime de Melo, 2008. "Openness, inequality and poverty: Endowments matter," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 343-378.
         • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
         • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
         • Lars E. O. Svensson & Michael Woodford, 2000. "Indicator variables for optimal policy," Proceedings, Federal Reserve Bank of San Francisco.
         • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
         • Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 872-912, 06.
         • Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages C25-C44, February.
         • Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117 National Bureau of Economic Research, Inc.
         • Christian Dreger & Hans-Eggert Reimers & Barbara Roffia, 2007. "Long-Run Money Demand in the New EU Member States with Exchange Rate Effects," Eastern European Economics, Taylor & Francis Journals, vol. 45(2), pages 75-94, April.
         • Christian Daude & Marcel Fratzscher, 2007. "The pecking order of cross-border investment," CGFS Papers chapters, in: Bank for International Settlements (ed.), Research on global financial stability: the use of BIS international financial statistics, volume 29, pages 53-89 Bank for International Settlements.
         • Reint Gropp & Jukka M. Vesala & Giuseppe Vulpes, 2002. "Equity and bond market signals as leading indicators of bank fragility," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
         • Kalin Nikolov, 2012. "Bubbles, banks and financial stability," Research Bulletin, European Central Bank, vol. 15, pages 2-6.
         • Forbes, Kristin J. & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2012. "Bubble thy neighbor: portfolio effects and externalities from capital controls," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 1-48.
         • Marcel Fratzscher, 2012. "Capital Controls and Foreign Exchange Policy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 66-98, August.
         • Geert Bekaert & Marie Hoerova, 2010. "Risk, uncertainty and monetary policy," Research Bulletin, European Central Bank, vol. 10, pages 11-13.
         • António Afonso & João Tovar Jalles, 2013. "Fiscal Composition and Long-term Growth," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
         • Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages C45-C90, 02.
         • Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis National Bureau of Economic Research, Inc.
         • Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
         • Elena Bobeica & Paulo Esteves & António Rua & Karsten Staehr, 2016. "Exports and domestic demand pressure: a dynamic panel data model for the euro area countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 107-125, February.
         • Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
         • Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
         • Pierpaolo Benigno & Michael Woodford, 2003. "Optimal monetary and fiscal policy: a linear-quadratic approach," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
         • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
         • Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
         • Fabrice Collard & Harris Dellas, 2003. "The great inflation of the 1970s," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
         • Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
         • Stephen Bond & Dietmar Harhoff & John Van Reenen, 2005. "Investment, R&D and Financial Constraints in Britain and Germany," Annals of Economics and Statistics, GENES, issue 79-80, pages 433-460.
         • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
         • Francesco Caselli & Silvana Tenreyro, 2004. "Is Poland the next Spain?," Communities and Banking, Federal Reserve Bank of Boston.
         • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
         • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
         • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
         • Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, 09.
         • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
         • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
         • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
         • Jo Blanden & Stephen Machin, 2004. "Educational Inequality and the Expansion of UK Higher Education," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 230-249, 05.
         • Anthony J. Venables, 2006. "Shifts in economic geography and their causes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 15-39.
         • Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
         • Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, 06.
         • Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
         • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
         • Richard Freeman & John Van Reenen, 2009. "What if Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38 National Bureau of Economic Research, Inc.
         • Richard Perkins & Eric Neumayer, 2010. "Geographic variations in the early diffusion of corporate voluntary standards: comparing ISO 14001 and the Global Compact," Environment and Planning A, Pion Ltd, London, vol. 42(2), pages 347-365, February.
         • Richard B. Freeman, 2007. "When Workers Share in Profits: Effort and Responses to Shirking," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 9-36, November-.
         • Robert C. Allen & Jean‐Pascal Bassino & Debin Ma & Christine Moll‐Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64(s1), pages 8-38, February.
         • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
         • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
         • Nancy Holman & Gabriel M Ahlfeldt, 2015. "No escape? The coordination problem in heritage preservation," Environment and Planning A, Pion Ltd, London, vol. 47(1), pages 172-187, January.
         • Paul Beaudry & David A. Green & Benjamin M. Sand, 2013. "The Great Reversal in the Demand for Skill and Cognitive Tasks," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 199-247 National Bureau of Economic Research, Inc.
         • Giuseppe Moscarini & Fabien Postel-Vinay, 2013. "Did the Job Ladder Fail after the Great Recession?," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 55-93 National Bureau of Economic Research, Inc.
         • Nuno Ferreira da Cruz & Pedro Simões & Rui Cunha Marques, 2013. "The hurdles of local governments with PPP contracts in the waste sector," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 31(2), pages 292-307, April.
         • Eric Neumayer & Peter Nunnenkamp & Martin Roy, 2016. "Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 177-213, February.
         • Joseph Seidel & Yang Xu, 2016. "MHTEXP: Stata module to perform multiple hypothesis testing correction procedure," Statistical Software Components S458153, Boston College Department of Economics.
         • Heike Hennig-Schmidt & Bettina Rockenbach & Abdolkarim Sadrieh, 2010. "In Search Of Workers' Real Effort Reciprocity-A Field and a Laboratory Experiment," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 817-837, 06.
         • Karlan, Dean & List, John A. & Shafir, Eldar, 2011. "Small matches and charitable giving: Evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 344-350.
         • Matthew T. Cole & Amélie Guillin, 2015. "The determinants of trade agreements in services vs. goods," International Economics, CEPII research center, issue 144, pages 66-82.
         • Yilmazkuday, Hakan, 2016. "Forecasting the Great Trade Collapse," International Economics, Elsevier, vol. 147(C), pages 145-154.
         • Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
         • Georgy Idrisov & Mikhail Khromov & Evgeny Goryunov & Alexander Knobel & Yuri Ponomarev & Alexander Deryugin & Julia Florinskaya & Nikita Mkrtchan, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 16, pages 1-26, November.
         • Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
         • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
         • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
         • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
         • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
         • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
         • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
         • Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
         • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
         • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
         • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
         • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
         • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
         • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
         • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
         • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
         • Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
         • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
         • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
         • Loginov D. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Goryunov Evgeny & Kiyutsevskaya Anna & Larionova M. & Sakharov A. & Shelepov A. & Avraamova A., 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 29, pages 1-26, June.
         • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
         • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
         • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
         • Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
         • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
         • Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 18, pages 1-26, December.
         • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
         • Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
         • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
         • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Sukhmani Sidhu & Kanchan Jain & Suresh Kumar Sharma, 2018. "Bayesian estimation of generalized gamma shared frailty model," Computational Statistics, Springer, vol. 33(1), pages 277-297, March.
         • Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
           • Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," IMES Discussion Paper Series 09-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
           • Jouchi Nakajima & Munehisa Kasuya & Toshiaki Watanabe, 2009. "Bayesian Analysis of Time-Varying Parameter Vector Autoregressive Model for the Japanese Economy and Monetary Policy," Global COE Hi-Stat Discussion Paper Series gd09-072, Institute of Economic Research, Hitotsubashi University.
         • Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
           • Worapree Maneesoonthorn & Gael M. Martin & Catherine S. Forbes & Simone Grose, 2010. "Probabilistic Forecasts of Volatility and its Risk Premia," Monash Econometrics and Business Statistics Working Papers 22/10, Monash University, Department of Econometrics and Business Statistics.
         • Joshua C.C. Chan & Rodney W. Strachan, 2023. "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
           • Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • Philip Gray, 2005. "Bayesian Estimation of Short-Rate Models," Australian Journal of Management, Australian School of Business, vol. 30(1), pages 1-22, June.
         • Clive Bowsher, 2004. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Model," Economics Series Working Papers 2003-W03, University of Oxford, Department of Economics.
         • M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
           • Mustafa Hakan Eratalay, 2012. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," EUSP Department of Economics Working Paper Series 2012/04, European University at St. Petersburg, Department of Economics.
         • Wolf, Elias, 2023. "Estimating Growth at Risk with Skewed Stochastic Volatility Models," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277696, Verein für Socialpolitik / German Economic Association.
         • Prado, Raquel & Molina, Francisco & Huerta, Gabriel, 2006. "Multivariate time series modeling and classification via hierarchical VAR mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1445-1462, December.
         • Haroon Mumtaz & Konstantinos Theodoridis, 2016. "Volatility Co-movement and the Great Moderation. An Empirical Analysis," Working Papers 804, Queen Mary University of London, School of Economics and Finance.
           • Haroon Mumtaz & Konstantinos Theodoridis, 2016. "Volatility Co-movement and the Great Moderation. An Empirical Analysis," Working Papers 804, Queen Mary University of London, School of Economics and Finance.
         • Joshua C. C. Chan, 2020. "Large Bayesian VARs: A Flexible Kronecker Error Covariance Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 68-79, January.
           • Joshua C.C. Chan, 2015. "Large Bayesian VARs: A flexible Kronecker error covariance structure," CAMA Working Papers 2015-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • Christiane Baumeister & Eveline Durinck & Gert Peersman, 2008. "Liquidity, inflation and asset prices in a time-varying framework for the euro area," Working Paper Research 142, National Bank of Belgium.
           • Christiane Baumeister & Eveline Durinck & Gert Peersman, 2008. "Liquidity, Inflation and Asset Prices in a Time-Varying Framework for the Euro Area," Discussion Papers 08/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
         • Mr. Noureddine Krichene, 2003. "Modeling Stochastic Volatility with Application to Stock Returns," IMF Working Papers 2003/125, International Monetary Fund.
         • Sylvia Frühwirth-Schnatter, 2001. "Fully Bayesian Analysis of Switching Gaussian State Space Models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 53(1), pages 31-49, March.
         • Topaloglou, Nikolas & Tsionas, Mike G., 2020. "Stochastic dominance tests," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
         • Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," Energy Economics, Elsevier, vol. 33(3), pages 497-503, May.
           • Xiaodong Du & Cindy L. Yu & Dermot J. Hayes, 2009. "Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 09-wp491, Center for Agricultural and Rural Development (CARD) at Iowa State University.
           • Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2011. "Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis," ISU General Staff Papers 201105010700001512, Iowa State University, Department of Economics.
           • Du, Xiaodong & Yu, Cindy L. & Hayes, Dermot J., 2009. "Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49276, Agricultural and Applied Economics Association.
           • Xiaodong Du & Cindy L. Yu & Dermot J. Hayes, 2009. "Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis," Center for Agricultural and Rural Development (CARD) Publications 09-wp491, Center for Agricultural and Rural Development (CARD) at Iowa State University.
         • Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
           • Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.
           • Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2017. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 81869, London School of Economics and Political Science, LSE Library.
           • Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.
           • Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," LSE Research Online Documents on Economics 86243, London School of Economics and Political Science, LSE Library.
         • Yu, Jun, 2005. "On leverage in a stochastic volatility model," Journal of Econometrics, Elsevier, vol. 127(2), pages 165-178, August.
           • Jun Yu, 2004. "On Leverage in a Stochastic Volatility Model," Econometric Society 2004 Far Eastern Meetings 506, Econometric Society.
           • Jun Yu, 2004. "On Leverage in a Stochastic Volatility Model," Working Papers 13-2004, Singapore Management University, School of Economics.
           • Jun Yu, 2004. "On leverage in a stochastic volatility model," Econometric Society 2004 Far Eastern Meetings 497, Econometric Society.
         • Tommaso Proietti & Stefano Grassi, 2015. "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," Empirical Economics, Springer, vol. 48(3), pages 983-1011, May.
           • Grassi, Stefano & Proietti, Tommaso, 2011. "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," Working Papers 07/2011, University of Sydney Business School, Discipline of Business Analytics.
           • Stefano Grassi & Tommaso Proietti, 2011. "Stochastic trends and seasonality in economic time series: new evidence from Bayesian stochastic model specification search," CREATES Research Papers 2011-30, Department of Economics and Business Economics, Aarhus University.
         • William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Department of Economics - Working Papers Series 1092, The University of Melbourne.
           • William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.
         • PREMINGER, Arie & HAFNER, Christian, 2006. "Deciding between GARCH and stochastic volatility via strong decision rules," LIDAM Discussion Papers CORE 2006042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
           • Hafner, C. & Preminger, A., 2010. "Deciding between GARCH and Stochastic Volatility via Strong Decision Rules," LIDAM Reprints ISBA 2010032, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
         • Christian M. Hafner & Hans Manner, 2012. "Dynamic stochastic copula models: estimation, inference and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 269-295, March.
           • Hafner, C.M. & Manner, H., 2008. "Dynamic stochastic copula models: estimation, inference and applications," Research Memorandum 043, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
           • Hafner, Christian & Manner H., 2012. "Dynamic stochastic copula models: Estimation, inference and applications," LIDAM Reprints ISBA 2012022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
         • Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
           • Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 2017-026, Federal Reserve Bank of St. Louis.
           • Todd E Clark & Michael W McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," BIS Working Papers 667, Bank for International Settlements.
           • Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 17-15R, Federal Reserve Bank of Cleveland.
           • Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers (Old Series) 1715, Federal Reserve Bank of Cleveland.
         • Petrova, Katerina, 2019. "A quasi-Bayesian local likelihood approach to time varying parameter VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 286-306.
         • P. Girardello & Orietta Nicolis & Giovanni Tondini, 2002. "Comparing conditional variance models: Theory and empirical evidence," Departmental Working Papers 2002-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
         • G. Cléaud & M. Lemoine & P.-A. Pionnier, 2013. "Which size and evolution of the government expenditure multiplier in France (1980-2010)?," Documents de Travail de l'Insee - INSEE Working Papers g2013-15, Institut National de la Statistique et des Etudes Economiques.
           • Cl aud, G. & Lemoine, M. & Pionnier, P.-A., 2013. "Which size and evolution of the government expenditure multiplier in France (1980-2010)?," Working papers 469, Banque de France.
         • Tetsuya Takaishi, 2009. "Bayesian Inference on QGARCH Model Using the Adaptive Construction Scheme," Papers 0907.5276, arXiv.org.
         • Eric Jacquier & Nicholas G. Polson & Peter Rossi, "undated". "Stochastic Volatility: Univariate and Multivariate Extensions," Rodney L. White Center for Financial Research Working Papers 19-95, Wharton School Rodney L. White Center for Financial Research.
           • Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.
           • Eric Jacquier & Nicholas G. Polson & Peter Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," Computing in Economics and Finance 1999 112, Society for Computational Economics.
         • Lombardi, Marco J. & Sgherri, Silvia, 2007. "(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate," Working Paper Series 794, European Central Bank.
           • Marco Lombardi & Silvia Sgherri, 2007. "(Un)naturally Low? Sequential Monte Carlo Tracking of the US Natural Interest Rate," DNB Working Papers 142, Netherlands Central Bank, Research Department.
         • Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
         • Rob L. Hyndman & Xibin Zhang & Maxwell L. King,, 2004. "Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC," Econometric Society 2004 Australasian Meetings 120, Econometric Society.
           • Xibin Zhang & Maxwell L. King & Rob J. Hyndman, 2004. "Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC," Monash Econometrics and Business Statistics Working Papers 9/04, Monash University, Department of Econometrics and Business Statistics.
         • Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
           • Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Paper 2019/5, Norges Bank.
           • Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Papers No 03/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
         • Tsionas, Mike G., 2017. "A non-iterative (trivial) method for posterior inference in stochastic volatility models," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 83-87.
         • Chan, Joshua C.C., 2023. "Comparing stochastic volatility specifications for large Bayesian VARs," Journal of Econometrics, Elsevier, vol. 235(2), pages 1419-1446.
           • Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
         • Liesenfeld, Roman & Richard, Jean-François, 2008. "Improving MCMC, using efficient importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 272-288, December.
           • Liesenfeld, Roman & Richard, Jean-François, 2006. "Improving MCMC Using Efficient Importance Sampling," Economics Working Papers 2006-05, Christian-Albrechts-University of Kiel, Department of Economics.
         • Bastian Gribisch, 2016. "Multivariate Wishart stochastic volatility and changes in regime," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(4), pages 443-473, October.
         • Virbickaitė, Audronė & Nguyen, Hoang & Tran, Minh-Ngoc, 2023. "Bayesian predictive distributions of oil returns using mixed data sampling volatility models," Resources Policy, Elsevier, vol. 86(PA).
           • Virbickaite, Audrone & Nguyen, Hoang & Tran, Minh-Ngoc, 2023. "Bayesian Predictive Distributions of Oil Returns Using Mixed Data Sampling Volatility Models," Working Papers 2023:7, Örebro University, School of Business.
         • Jésus Fernández-Villaverde & Tomohide Mineyama & Dongho Song & Jesús Fernández-Villaverde, 2024. "Are We Fragmented Yet? Measuring Geopolitical Fragmentation and Its Causal Effects," CESifo Working Paper Series 11192, CESifo.
           • Jesús Fernández-Villaverde & Tomohide Mineyama & Dongho Song, 2024. "Are We Fragmented Yet? Measuring Geopolitical Fragmentation and Its Causal Effect," NBER Working Papers 32638, National Bureau of Economic Research, Inc.
           • Fernández-Villaverde, Jesús & Mineyama, Tomohide & Song, Dongho, 2024. "Are We Fragmented Yet? Measuring Geopolitical Fragmentation and Its Causal Effects," CEPR Discussion Papers 19184, C.E.P.R. Discussion Papers.
           • Jesus Fernandez-Villaverde & Tomohide Mineyama & Dongho Song, 2024. "Are We Fragmented Yet? Measuring Geopolitical Fragmentation and Its Causal Effects," PIER Working Paper Archive 24-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
         • Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
         • Willy Alanya & Gabriel Rodríguez, 2019. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-18, March.
           • Gabriel Rodriguez & Willy Alanya, 2016. "Asymmetries in Volatility: An Empirical Study for the Peruvian Stock and Forex Markets," Documentos de Trabajo / Working Papers 2016-413, Departamento de Economía - Pontificia Universidad Católica del Perú.
         • Maki, Daiki, 2015. "Wild bootstrap testing for cointegration in an ESTAR error correction model," Economic Modelling, Elsevier, vol. 47(C), pages 292-298.
         • Zampolli, Fabrizio, 2006. "Optimal monetary policy in a regime-switching economy: The response to abrupt shifts in exchange rate dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1527-1567.
           • Fabrizio Zampolli, 2006. "Optimal monetary policy in a regime-switching economy: the response to abrupt shifts in exchange rate dynamics," Bank of England working papers 297, Bank of England.
         • Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," PIER Working Paper Archive 05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
           • Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
           • Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," NBER Working Papers 11188, National Bureau of Economic Research, Inc.
         • Enrique Ter Horst & Abel Rodriguez & Henryk Gzyl & German Molina, 2012. "Stochastic volatility models including open, close, high and low prices," Quantitative Finance, Taylor & Francis Journals, vol. 12(2), pages 199-212, May.
           • Abel Rodriguez & Henryk Gzyl & German Molina & Enrique ter Horst, 2009. "Stochastic Volatility Models Including Open, Close, High and Low Prices," Papers 0901.1315, arXiv.org.
         • James H. Stock & Mark W. Watson, 2016. "Core Inflation and Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 770-784, October.
           • James H. Stock & Mark W. Watson, 2015. "Core Inflation and Trend Inflation," NBER Working Papers 21282, National Bureau of Economic Research, Inc.
         • McCausland, William J. & Miller, Shirley & Pelletier, Denis, 2011. "Simulation smoothing for state-space models: A computational efficiency analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 199-212, January.
         • Michele Campolieti & Deborah Gefang & Gary Koop, 2011. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," Working Papers 1138, University of Strathclyde Business School, Department of Economics.
           • Koop, Gary & Gefang, Deborah & Campolieti, Michele, 2012. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," SIRE Discussion Papers 2012-69, Scottish Institute for Research in Economics (SIRE).
         • Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
         • Pereira, Pedro L. Valls & Hotta, Luiz K. & Souza, Luiz Alvares R. de & Almeida, Nuno Miguel C. G. de, 1999. "Alternative Models To Extract Asset Volatility: A Comparative Study," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 19(1), May.
           • Pedro L. Valls Pereira & Hotta, L.K. & Souza, L.A.R., 1999. "Alternative Models to extract asset volatility: a comparative study," Finance Lab Working Papers flwp_14, Finance Lab, Insper Instituto de Ensino e Pesquisa.
         • Nasir, Muhammad Ali & Naidoo, Lutchmee & Shahbaz, Muhammad & Amoo, Nii, 2018. "Implications of oil prices shocks for the major emerging economies: A comparative analysis of BRICS," Energy Economics, Elsevier, vol. 76(C), pages 76-88.
         • Carlos A. Abanto‐Valle & Roland Langrock & Ming‐Hui Chen & Michel V. Cardoso, 2017. "Maximum likelihood estimation for stochastic volatility in mean models with heavy‐tailed distributions," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 33(4), pages 394-408, August.
         • Chen, Zhengyang & Valcarcel, Victor J., 2021. "Monetary transmission in money markets: The not-so-elusive missing piece of the puzzle," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 131, pages 1-16.
           • Chen, Zhengyang & Valcarcel, Victor J., 2021. "Monetary transmission in money markets: The not-so-elusive missing piece of the puzzle," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
         • Christoffersen, Peter & Jacobs, Kris & Ornthanalai, Chayawat, 2012. "Dynamic jump intensities and risk premiums: Evidence from S&P500 returns and options," Journal of Financial Economics, Elsevier, vol. 106(3), pages 447-472.
         • Zhang, Bo & Chan, Joshua C.C. & Cross, Jamie L., 2020. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1318-1328.
           • Bo Zhang & Joshua C.C. Chan & Jamie L. Cross, 2018. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," CAMA Working Papers 2018-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • Vo, Minh T., 2009. "Regime-switching stochastic volatility: Evidence from the crude oil market," Energy Economics, Elsevier, vol. 31(5), pages 779-788, September.
         • Jacopo Cimadomo & Antonello D'Agostino, 2016. "Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1276-1290, November.
           • D'Agostino, Antonello & Cimadomo, Jacopo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Paper Series 1856, European Central Bank.
           • Antonello D’Agostino & Jacopo Cimadomo, 2015. "Combining time-variation and mixed-frequencies: an analysis of government spending multipliers in Italy," Working Papers 7, European Stability Mechanism.
         • António Alberto Santos, 2015. "The evolution of the Volatility in Financial Returns: Realized Volatility vs Stochastic Volatility Measures," GEMF Working Papers 2015-10, GEMF, Faculty of Economics, University of Coimbra.
         • Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
           • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
         • Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
           • Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
         • Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
         • Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating overidentified, nonrecursive, time-varying coefficients structural VARs," Economics Working Papers 1321, Department of Economics and Business, Universitat Pompeu Fabra.
           • Fernando J. Pérez Forero & Fabio Canova, 2015. "Estimating Overidentified, Nonrecursive Time-Varying Coefficients Structural VARs," Working Papers 637, Barcelona School of Economics.
           • Canova, Fabio & Pérez Forero, Fernando J., 2014. "Estimating overidentified, non-recursive, time varying coefficients structural VARs," CEPR Discussion Papers 10022, C.E.P.R. Discussion Papers.
         • Berument, M. Hakan & Yalcin, Yeliz & Yildirim, Julide, 2012. "Inflation and inflation uncertainty: A dynamic framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4816-4826.
         • Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024. "A Bayesian approach for the determinants of bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 91(C).
           • Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "A Bayesian approach for the determinants of bitcoin returns," Working Papers 2302, University of Guelph, Department of Economics and Finance.
           • Theodore Panagiotidis & Georgios Papapanagiotou & Thanasis Stengos, 2023. "A Bayesian approach for the determinants of bitcoin returns," Discussion Paper Series 2023_05, Department of Economics, University of Macedonia, revised May 2023.
         • Willy Alanya & Gabriel Rodríguez, 2018. "Stochastic Volatility in the Peruvian Stock Market and Exchange Rate Returns: A Bayesian Approximation," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(3), pages 354-385, December.
           • Willy Alanya & Gabriel Rodríguez, 2014. "Stochastic Volatility in Peruvian Stock Market and Exchange Rate Returns: a Bayesian Approximation," Documentos de Trabajo / Working Papers 2014-392, Departamento de Economía - Pontificia Universidad Católica del Perú.
         • Jean-Francois Richard & Roman Liesenfeld, 2007. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Working Paper 322, Department of Economics, University of Pittsburgh, revised Jan 2004.
         • Sune Karlsson & Pär Österholm, 2020. "A note on the stability of the Swedish Phillips curve," Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
           • Karlsson, Sune & Österholm, Pär, 2018. "A Note on the Stability of the Swedish Philips Curve," Working Papers 2018:6, Örebro University, School of Business.
         • Michel Beine & Charles S. Bos & Sébastien Laurent, 2007. "The Impact of Central Bank FX Interventions on Currency Components," Journal of Financial Econometrics, Oxford University Press, vol. 5(1), pages 154-183.
           • Michel Beine & Charles S. Bos & Sebastian Laurent, 2005. "The Impact of Central Bank FX Interventions on Currency Components," Tinbergen Institute Discussion Papers 05-103/4, Tinbergen Institute.
           • Michel Beine & Charles Bos & Sébastien Laurent, 2007. "The impact of Central Bank FX interventions on currency components," ULB Institutional Repository 2013/10419, ULB -- Universite Libre de Bruxelles.
           • BEINE, Michel & BOS, Charles S. & LAURENT, Sébastien, 2006. "The impact of Central Bank FX interventions on currency components," LIDAM Reprints CORE 1980, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
         • Dinghai Xu & Yuying Li, 2010. "Empirical Evidence of the Leverage Effect in a Stochastic Volatility Model: A Realized Volatility Approach," Working Papers 1002, University of Waterloo, Department of Economics, revised May 2010.
         • repec:bla:jecsur:v:22:y:2008:i:4:p:711-751 is not listed on IDEAS
         • Tsiotas, Georgios, 2012. "On generalised asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 151-172, January.
         • Makoto Takahashi & Yasuhiro Omori & Toshiaki Watanabe, 2007. "Estimating Stochastic Volatility Models Using Daily Returns and Realized Volatility Simultaneously ( Revised in March 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2," CARF F-Series CARF-F-108, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
         • Kang, Kyu Ho, 2015. "The predictive density simulation of the yield curve with a zero lower bound," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 51-66.
         • Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
         • Ulph, A. & Valentini, L., 1998. "Is environmental dumping greater when firms are footloose?," Discussion Paper Series In Economics And Econometrics 9819, Economics Division, School of Social Sciences, University of Southampton.
         • K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility with Bayesian dynamic linear models," Papers 0802.0214, arXiv.org.
         • Xibin Zhang & Maxwell L. King & Han Lin Shang, 2011. "Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 10/11, Monash University, Department of Econometrics and Business Statistics.
         • Lars Forsberg & Tim Bollerslev, 2002. "Bridging the gap between the distribution of realized (ECU) volatility and ARCH modelling (of the Euro): the GARCH-NIG model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 535-548.
         • Dominik Bertsche & Robin Braun, 2022. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
           • Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
           • Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
           • Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
           • Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
         • Tian, Shuairu & Hamori, Shigeyuki, 2016. "Time-varying price shock transmission and volatility spillover in foreign exchange, bond, equity, and commodity markets: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 163-171.
         • Ilias Tsiakas, 2010. "The Economic Gains Of Trading Stocks Around Holidays," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(1), pages 1-26, March.
         • Vo, Minh, 2011. "Oil and stock market volatility: A multivariate stochastic volatility perspective," Energy Economics, Elsevier, vol. 33(5), pages 956-965, September.
         • Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2012. "Efficient estimation and particle filter for max‐stable processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 33(1), pages 61-80, January.
           • Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2011. "Efficient estimation and particle filter for max-stable processes," CIRJE F-Series CIRJE-F-791, CIRJE, Faculty of Economics, University of Tokyo.
         • Drew D. Creal & Jing Cynthia Wu, 2017. "Monetary Policy Uncertainty And Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(4), pages 1317-1354, November.
           • Drew D. Creal & Jing Cynthia Wu, 2014. "Monetary Policy Uncertainty and Economic Fluctuations," NBER Working Papers 20594, National Bureau of Economic Research, Inc.
         • Han, Chuan-Hsiang & Molina, German & Fouque, Jean-Pierre, 2014. "McMC estimation of multiscale stochastic volatility models with applications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 103(C), pages 1-11.
         • Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
           • Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
           • Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper series 47_09, Rimini Centre for Economic Analysis.
         • N. Chopin & P. E. Jacob & O. Papaspiliopoulos, 2013. "SMC-super-2: an efficient algorithm for sequential analysis of state space models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(3), pages 397-426, June.
         • Moura, Guilherme V. & Noriller, Mateus R., 2019. "Maximum likelihood estimation of a TVP-VAR," Economics Letters, Elsevier, vol. 174(C), pages 78-83.
         • Miguel Cabello & Rafael Nivin, 2022. "Measuring Uncertainty and its effects in a Small Open Economy," IHEID Working Papers 25-2022, Economics Section, The Graduate Institute of International Studies.
         • Ole E. Barndorff‐Nielsen & Neil Shephard, 2002. "Econometric analysis of realized volatility and its use in estimating stochastic volatility models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 253-280, May.
           • Ole E. Barndorff-Nielsen & Neil Shephard, 2000. "Econometric analysis of realised volatility and its use in estimating stochastic volatility models," Economics Papers 2001-W4, Economics Group, Nuffield College, University of Oxford, revised 05 Jul 2001.
           • Neil Shephard & Ole E. Barndorff-Nielsen & University of Aarhus, 2001. "Econometric Analysis of Realised Volatility and Its Use in Estimating Stochastic Volatility Models," Economics Series Working Papers 71, University of Oxford, Department of Economics.
         • D. Sornette & Y. Malevergne & J. F. Muzy, 2002. "Volatility fingerprints of large shocks: Endogeneous versus exogeneous," Papers cond-mat/0204626, arXiv.org.
         • Hernan Seoane, 2016. "Time-varying volatility, default and the sovereign risk premium," 2016 Meeting Papers 1132, Society for Economic Dynamics.
         • Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
         • Wolfgang Aussenegg & Tatiana Miazhynskaia, 2006. "Uncertainty in Value-at-risk Estimates under Parametric and Non-parametric Modeling," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(3), pages 243-264, September.
         • Kreuzer, Alexander & Czado, Claudia, 2021. "Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo," Econometrics and Statistics, Elsevier, vol. 19(C), pages 130-150.
         • Robert Brooks & Xibin Zhang & Emawtee Bissoondoyal Bheenick, 2007. "Country risk and the estimation of asset return distributions," Quantitative Finance, Taylor & Francis Journals, vol. 7(3), pages 261-265.
         • Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
         • Koop, Gary & Dijk, Herman K. Van, 2000. "Testing for integration using evolving trend and seasonals models: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 97(2), pages 261-291, August.
           • Gary Koop & Herman K. van Dijk & Henk Hoek, 1997. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 97-078/4, Tinbergen Institute.
           • Koop, G. & van Dijk, H.K., 1999. "Testing for integration using evolving trend and seasonal models: A Bayesian approach," Econometric Institute Research Papers EI 9934/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
           • Gary Koop & Herman K. van Dijk, 1999. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 99-072/4, Tinbergen Institute.
         • Terence Tai Leung Chong & Yue Ding & Yong Li, 2015. "Executive Stock Option Pricing in China Under Stochastic Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(10), pages 953-960, October.
           • Chong, Terence Tai Leung & Ding, Yue & Li, Yong, 2015. "Executive Stock Option Pricing in China under Stochastic Volatility," MPRA Paper 63397, University Library of Munich, Germany.
         • Roberto León-González, 2019. "Efficient Bayesian inference in generalized inverse gamma processes for stochastic volatility," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 899-920, September.
           • Roberto Leon-Gonzalez, 2014. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," Working Paper series 19_14, Rimini Centre for Economic Analysis.
           • Roberto Leon-Gonzalez, 2018. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 17-16, National Graduate Institute for Policy Studies.
           • Roberto Leon-Gonzalez, 2015. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 15-17, National Graduate Institute for Policy Studies.
           • Roberto Leon-Gonzalez, 2014. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 14-12, National Graduate Institute for Policy Studies.
         • Pieter J. Van Der Sluis, 1998. "Computationally attractive stability tests for the efficient method of moments," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 203-227.
           • Pieter J. van der Sluis, 1997. "Computationally Attractive Stability Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-087/4, Tinbergen Institute.
         • Mark J. Jensen, 2004. "Semiparametric Bayesian Inference of Long‐Memory Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(6), pages 895-922, November.
         • Greyserman, Alex & Jones, Douglas H. & Strawderman, William E., 2006. "Portfolio selection using hierarchical Bayesian analysis and MCMC methods," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 669-678, February.
         • John Elder, 2019. "Oil price volatility and real options: 35 years of evidence," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1549-1564, December.
         • Zhang, Xibin & Brooks, Robert D. & King, Maxwell L., 2009. "A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation," Journal of Econometrics, Elsevier, vol. 153(1), pages 21-32, November.
           • Xibin Zhang & Robert D. Brooks & Maxwell L. King, 2007. "A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation," Monash Econometrics and Business Statistics Working Papers 11/07, Monash University, Department of Econometrics and Business Statistics.
         • Yuelin Liu, 2022. "How structural is unemployment in the United States?," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1258-1276, July.
         • Kavanagh, Ella & Zhu, Sheng & O’Sullivan, Niall, 2022. "Monetary policy, trade-offs and the transmission of UK Monetary Policy," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1128-1147.
         • David S. Bates, 2003. "Maximum Likelihood Estimation of Latent Affine Processes," NBER Working Papers 9673, National Bureau of Economic Research, Inc.
         • Barndorff-Nielsen, Ole E. & Shephard, Neil, 2006. "Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 217-252.
           • Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes," Economics Papers 2003-W12, Economics Group, Nuffield College, University of Oxford.
         • Jun Yu, 2004. "Asymmetric Response of Volatility: Evidence from Stochastic Volatility Models and Realized Volatility," Working Papers 24-2004, Singapore Management University, School of Economics.
         • Hsieh, Ping-Hung & Yang, J. Jimmy, 2009. "A censored stochastic volatility approach to the estimation of price limit moves," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 337-351, March.
         • Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
         • Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
         • Jan Prüser & Alexander Schlösser, 2020. "On the Time‐Varying Effects of Economic Policy Uncertainty on the US Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1217-1237, October.
         • Grammig, Joachim & Schaub, Eva-Maria, 2014. "Give me strong moments and time: Combining GMM and SMM to estimate long-run risk asset pricing," CFR Working Papers 14-05, University of Cologne, Centre for Financial Research (CFR).
         • Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro, 2014. "Realized stochastic volatility with leverage and long memory," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 618-641.
           • Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2012. "Realized stochastic volatility with leverage and long memory," CIRJE F-Series CIRJE-F-869, CIRJE, Faculty of Economics, University of Tokyo.
           • Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2013. "Realized Stochastic Volatility with Leverage and Long Memory," CIRJE F-Series CIRJE-F-880, CIRJE, Faculty of Economics, University of Tokyo.
         • Koop, Gary & Potter, Simon, 2010. "A flexible approach to parametric inference in nonlinear and time varying time series models," Journal of Econometrics, Elsevier, vol. 159(1), pages 134-150, November.
           • Gary Koop & Simon Potter, 2010. "A flexible approach to parametric inference in nonlinear and time varying time series models," Post-Print hal-00732535, HAL.
         • Vidal-Llana, Xenxo & Uribe, Jorge M. & Guillén, Montserrat, 2023. "European stock market volatility connectedness: The role of country and sector membership," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
         • Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.
         • Tallman, Ellis W. & Zaman, Saeed, 2017. "Forecasting inflation: Phillips curve effects on services price measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 442-457.
           • Ellis W. Tallman & Saeed Zaman, 2015. "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series) 1519, Federal Reserve Bank of Cleveland.
         • Sascha Mergner & Jan Bulla, 2008. "Time-varying beta risk of Pan-European industry portfolios: A comparison of alternative modeling techniques," The European Journal of Finance, Taylor & Francis Journals, vol. 14(8), pages 771-802.
           • Sascha Mergner & Jan Bulla, 2005. "Time-varying Beta Risk of Pan-European Industry Portfolios: A Comparison of Alternative Modeling Techniques," Finance 0510029, University Library of Munich, Germany.
         • Phillip, Andrew & Chan, Jennifer & Peiris, Shelton, 2020. "On generalized bivariate student-t Gegenbauer long memory stochastic volatility models with leverage: Bayesian forecasting of cryptocurrencies with a focus on Bitcoin," Econometrics and Statistics, Elsevier, vol. 16(C), pages 69-90.
         • Eraker, Bjørn & Wu, Yue, 2017. "Explaining the negative returns to volatility claims: An equilibrium approach," Journal of Financial Economics, Elsevier, vol. 125(1), pages 72-98.
         • Chan, Joshua C.C., 2013. "Moving average stochastic volatility models with application to inflation forecast," Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
           • Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
           • Joshua C.C. Chan, 2013. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," CAMA Working Papers 2013-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • Pan, Qi & Li, Yong, 2013. "Testing volatility persistence on Markov switching stochastic volatility models," Economic Modelling, Elsevier, vol. 35(C), pages 45-50.
         • Shirota, Shinichiro & Omori, Yasuhiro & F. Lopes, Hedibert. & Piao, Haixiang, 2017. "Cholesky realized stochastic volatility model," Econometrics and Statistics, Elsevier, vol. 3(C), pages 34-59.
           • Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
           • Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2016. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-1019, CIRJE, Faculty of Economics, University of Tokyo.
         • Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Bank of Russia Working Paper Series wps104, Bank of Russia.
           • Ramis Khabibullin & Sergei Seleznev, 2022. "Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference," Papers 2210.07154, arXiv.org.
         • Collin Philipps & Sebastian Laumer, 2022. "Government Spending between Active and Passive Monetary Policy," Working Papers 2022-04, Department of Economics and Geosciences, US Air Force Academy.
         • Benjamin Wong, 2013. "Inflation Dynamics and The Role of Oil Shocks: How Different Were the 1970s?," CAMA Working Papers 2013-59, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • James H. Stock & Mark W. Watson, 2019. "Trend, Seasonal, and Sectoral Inflation in the Euro Area," Working Papers Central Bank of Chile 847, Central Bank of Chile.
         • Hang Qian, 2014. "A Flexible State Space Model And Its Applications," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(2), pages 79-88, March.
         • Li, Junye & Sarno, Lucio & Zinna, Gabriele, 2024. "Risks and risk premia in the US Treasury market," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
           • Li, Junye & Sarno, Lucio & Zinna, Gabriele, 2023. "Risks and Risk Premia in the US Treasury Market," CEPR Discussion Papers 18592, C.E.P.R. Discussion Papers.
         • Prüser, Jan & Schlösser, Alexander, 2018. "On the time-varying effects of economic policy uncertainty on the US economy," Ruhr Economic Papers 761, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
         • Hasbrouck, Joel, 1999. "Security bid/ask dynamics with discreteness and clustering: Simple strategies for modeling and estimation1," Journal of Financial Markets, Elsevier, vol. 2(1), pages 1-28, February.
         • Bjørn Eraker & Ching Wai (Jeremy) Chiu & Andrew T. Foerster & Tae Bong Kim & Hernán D. Seoane, 2015. "Bayesian Mixed Frequency VARs," Journal of Financial Econometrics, Oxford University Press, vol. 13(3), pages 698-721.
           • Ching Wai Chiu & Bjorn Eraker & Andrew T. Foerster & Tae Bong Kim & Hernan D. Seoane, 2011. "Estimating VAR's sampled at mixed or irregular spaced frequencies : a Bayesian approach," Research Working Paper RWP 11-11, Federal Reserve Bank of Kansas City.
         • BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
           • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
           • Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
         • Hardiyanto, A.V., 2007. "Daily Rp/USD stochastic volatility and the policy implication lesson," Journal of Asian Economics, Elsevier, vol. 18(1), pages 237-256, February.
         • Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic forecasting in a multi‐country context," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1230-1255, September.
           • Yu Bai & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022. "Macroeconomic Forecasting in a Multi-country Context," Working Papers 22-02, Federal Reserve Bank of Cleveland.
           • Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers 16994, C.E.P.R. Discussion Papers.
         • Hautsch, Nikolaus & Ou, Yangguoyi, 2008. "Discrete-time stochastic volatility models and MCMC-based statistical inference," SFB 649 Discussion Papers 2008-063, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
         • Gabriel Rodriguez & Paul Castillo B. & Junior A. Ojeda Cunya, 2024. "Time-Varying Effects of External Shocks on Macroeconomic Fluctuations in Peru: An Empirical Application using TVP-VAR-SV Models," Open Economies Review, Springer, vol. 35(5), pages 1015-1050, November.
           • Junior A. Ojeda Cunya & Gabriel Rodríguez, 2022. "Time-Varying Effects of External Shocks on Macroeconomic Fluctuations in Peru: An Empirical Application using TVP-VAR- SV Models," Documentos de Trabajo / Working Papers 2022-507, Departamento de Economía - Pontificia Universidad Católica del Perú.
         • Neil Shephard & Siddhartha Chib, 1998. "Markov Chain Monte Carlo methods for Generalized Stochastic Volatility Models," Economics Series Working Papers 1998-W21, University of Oxford, Department of Economics.
         • Rub'en Loaiza-Maya & Didier Nibbering, 2022. "Efficient variational approximations for state space models," Papers 2210.11010, arXiv.org, revised Jun 2023.
         • Zhongjun Qu & Pierre Perron, 2008. "A Stochastic Volatility Model with Random Level Shifts: Theory and Applications to S&P 500 and NASDAQ Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-007, Boston University - Department of Economics.
         • Malin Gardberg & Lorenzo Pozzi, 2022. "Aggregate consumption and wealth in the long run: The impact of financial liberalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 161-186, January.
           • Gardberg, Malin, 2020. "Aggregate Consumption and Wealth in the Long Run: The Impact of Financial Liberalization," Working Paper Series 1339, Research Institute of Industrial Economics.
         • Jouchi Nakajima & Yasuhiro Omori, 2007. "Leverage, Heavy-Tails and Correlated Jumps in Stochastic Volatility Models (Revised in January 2008; Published in "Computational Statistics and Data Analysis", 53-6, 2335-2353. April 2009. )," CARF F-Series CARF-F-107, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
         • Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
         • David F. Hendry, 2004. "Robustifying Forecasts from Equilibrium-Correction Models," Economics Papers 2004-W14, Economics Group, Nuffield College, University of Oxford.
         • Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
         • Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
           • Benjamin Poignard & Manabu Asai, 2022. "High-Dimensional Sparse Multivariate Stochastic Volatility Models," Papers 2201.08584, arXiv.org, revised May 2022.
         • Zellner, Arnold & Ando, Tomohiro, 2010. "A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model," Journal of Econometrics, Elsevier, vol. 159(1), pages 33-45, November.
         • Beverly, Josh & Stewart, Shamar L. & Neill, Clinton L., 2024. "What drives labor force participation rate variability? The case of West Virginia," Economic Modelling, Elsevier, vol. 140(C).
         • Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
           • Massimiliano Caporin & Michael McAleer, 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," KIER Working Papers 724, Kyoto University, Institute of Economic Research.
           • Massimiliano Caporin & Michael McAleer, 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Working Papers in Economics 10/58, University of Canterbury, Department of Economics and Finance.
         • Borus Jungbacker & Siem Jan Koopman, 2006. "Model-Based Measurement of Actual Volatility in High-Frequency Data," Advances in Econometrics, in: Econometric Analysis of Financial and Economic Time Series, pages 183-210, Emerald Group Publishing Limited.
           • B. Jungbacker & S.J. Koopman, 2005. "Model-based Measurement of Actual Volatility in High-Frequency Data," Tinbergen Institute Discussion Papers 05-002/4, Tinbergen Institute.
         • Kastner, Gregor, 2016. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i05).
           • Gregor Kastner, 2019. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Papers 1906.12134, arXiv.org.
         • Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021. "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, vol. 101(C).
         • Yuelin Liu & James Morley, 2013. "Structural Evolution of the Postwar U.S. Economy," Discussion Papers 2013-15, School of Economics, The University of New South Wales.
         • repec:zbw:bofrdp:2008_020 is not listed on IDEAS
         • Jung, Robert & Kukuk, Martin & Liesenfeld, Roman, 2005. "Time Series of Count Data: Modelling and Estimation," Economics Working Papers 2005-08, Christian-Albrechts-University of Kiel, Department of Economics.
         • Saikat Saha, 2015. "Noise Robust Online Inference for Linear Dynamic Systems," Papers 1504.05723, arXiv.org.
         • Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2016. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," Working Papers hal-04141574, HAL.
         • Alexander Rathke & Samad Sarferaz, 2010. "Malthus was right: new evidence from a time-varying VAR," IEW - Working Papers 477, Institute for Empirical Research in Economics - University of Zurich.
         • Michael P. Clements & Ana Beatriz Galvão, 2023. "Density forecasting with Bayesian Vector Autoregressive models under macroeconomic data uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 164-185, March.
         • Gary M. Koop & Simon M. Potter, 2004. "Forecasting and Estimating Multiple Change-point Models with an Unknown Number of Change-points," Discussion Papers in Economics 04/31, Division of Economics, School of Business, University of Leicester.
           • Gary Koop & Simon M. Potter, 2004. "Forecasting and estimating multiple change-point models with an unknown number of change points," Staff Reports 196, Federal Reserve Bank of New York.
         • Kastner, Gregor & Frühwirth-Schnatter, Sylvia, 2014. "Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 408-423.
           • Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017. "Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models," Papers 1706.05280, arXiv.org.
         • Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2014. "Inflation uncertainty revisited: a proposal for robust measurement," Empirical Economics, Springer, vol. 47(4), pages 1497-1523, December.
           • Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2011. "Inflation uncertainty revisited: A proposal for robust measurement," ifo Working Paper Series 111, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
         • Francesco Corsello & Valerio Nispi Landi, 2020. "Labor Market and Financial Shocks: A Time‐Varying Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 777-801, June.
           • Francesco Corsello & Valerio Nispi Landi, 2018. "Labor market and financial shocks: a time varying analysis," Temi di discussione (Economic working papers) 1179, Bank of Italy, Economic Research and International Relations Area.
         • Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
         • Loaiza-Maya, Rubén & Smith, Michael Stanley & Nott, David J. & Danaher, Peter J., 2022. "Fast and accurate variational inference for models with many latent variables," Journal of Econometrics, Elsevier, vol. 230(2), pages 339-362.
           • Rub'en Loaiza-Maya & Michael Stanley Smith & David J. Nott & Peter J. Danaher, 2020. "Fast and Accurate Variational Inference for Models with Many Latent Variables," Papers 2005.07430, arXiv.org, revised Apr 2021.
         • Gael M. Martin & David T. Frazier & Christian P. Robert, 2022. "Computing Bayes: From Then `Til Now," Monash Econometrics and Business Statistics Working Papers 14/22, Monash University, Department of Econometrics and Business Statistics.
         • Tetsuya Takaishi, 2009. "Bayesian Inference of Stochastic Volatility Model by Hybrid Monte Carlo," Papers 1001.0024, arXiv.org.
         • Ding, Liang & Vo, Minh, 2012. "Exchange rates and oil prices: A multivariate stochastic volatility analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 15-37.
         • Bryzgalova, Svetlana & Huang, Jiantao & Julliard, Christian, 2024. "Consumption in asset returns," LSE Research Online Documents on Economics 126152, London School of Economics and Political Science, LSE Library.
         • Berg Tim Oliver, 2015. "Time Varying Fiscal Multipliers in Germany," Review of Economics, De Gruyter, vol. 66(1), pages 13-46, April.
           • Berg, Tim Oliver, 2014. "Time Varying Fiscal Multipliers in Germany," MPRA Paper 57223, University Library of Munich, Germany.
         • Tetsuya Takaishi, 2009. "An Adaptive Markov Chain Monte Carlo Method for GARCH Model," Papers 0901.0992, arXiv.org.
         • Tingguo Zheng & Tao Song, 2014. "A Realized Stochastic Volatility Model With Box-Cox Transformation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 593-605, October.
         • Bruno Solnik & Thaisiri Watewai, 2016. "International Correlation Asymmetries: Frequent-but-Small and Infrequent-but-Large Equity Returns," PIER Discussion Papers 31, Puey Ungphakorn Institute for Economic Research.
         • Gunawan, David & Kohn, Robert & Nott, David, 2021. "Variational Bayes approximation of factor stochastic volatility models," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1355-1375.
         • Fuest, Angela & Schmidt, Torsten, 2017. "Inflation expectation uncertainty, inflation and the output gap," Ruhr Economic Papers 673, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
           • Schmidt, Torsten, 2018. "Inflation Expectation Uncertainty, Inflation and the Outputgap," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181575, Verein für Socialpolitik / German Economic Association.
         • Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
           • Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Macroeconomic Forecasting and Variable Ordering in Multivariate Stochastic Volatility Models," Working Papers 21-21, Federal Reserve Bank of Philadelphia.
         • Chang-Jin Kim & Jaeho Kim, 2013. "Bayesian Inference in Regime-Switching ARMA Models with Absorbing States: The Dynamics of the Ex-Ante Real Interest Rate Under Structural Breaks," Discussion Paper Series 1306, Institute of Economic Research, Korea University.
           • Kim, Chang-Jin & Kim, Jaeho, 2013. "Bayesian Inference in Regime-Switching ARMA Models with Absorbing States: The Dynamics of the Ex-Ante Real Interest Rate Under Structural Breaks," MPRA Paper 51117, University Library of Munich, Germany.
         • Rodney Strachan & Herman K. van Dijk, "undated". "Bayesian Model Averaging in Vector Autoregressive Processes with an Investigation of Stability of the US Great Ratios and Risk of a Liquidity Trap in the USA, UK and Japan," MRG Discussion Paper Series 1407, School of Economics, University of Queensland, Australia.
           • Strachan, R.W. & van Dijk, H.K., 2007. "Bayesian model averaging in vector autoregressive processes with an investigation of stability of the US great ratios and risk of a liquidity trap in the USA, UK and Japan," Econometric Institute Research Papers EI 2007-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
         • Banerjee, A. & Malik, S., 2012. "The changing role of expectations in US monetary policy: A new look using the Livingston Survey," Working papers 376, Banque de France.
         • Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Research Discussion Papers 20/2008, Bank of Finland.
         • Çekin, Semih Emre & Ivashchenko, Sergey & Gupta, Rangan & Lee, Chien-Chiang, 2024. "Real-time forecast of DSGE models with time-varying volatility in GARCH form," International Review of Financial Analysis, Elsevier, vol. 93(C).
           • Sergey Ivashchenko & Semih Emre Cekin & Rangan Gupta & Chien-Chiang Lee, 2022. "Real-Time Forecast of DSGE Models with Time-Varying Volatility in GARCH Form," Working Papers 202204, University of Pretoria, Department of Economics.
         • Torben G. Andersen & Luca Benzoni & Jesper Lund, 2002. "An Empirical Investigation of Continuous‐Time Equity Return Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1239-1284, June.
           • Torben G. Andersen & Luca Benzoni & Jesper Lund, 2001. "An Empirical Investigation of Continuous-Time Equity Return Models," NBER Working Papers 8510, National Bureau of Economic Research, Inc.
         • Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
         • Cross, Jamie, 2019. "On the reduced macroeconomic volatility of the Australian economy: Good policy or good luck?," Economic Modelling, Elsevier, vol. 77(C), pages 174-186.
         • Smith, Michael Stanley & Maneesoonthorn, Worapree, 2018. "Inversion copulas from nonlinear state space models with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 34(3), pages 389-407.
         • T. Philipp Dybowski & Max Hanisch & Bernd Kempa, 2018. "The role of the exchange rate in Canadian monetary policy: evidence from a TVP-BVAR model," Empirical Economics, Springer, vol. 55(2), pages 471-494, September.
         • Bontemps, Christian, 2013. "Moment-Based Tests for Discrete Distributions," IDEI Working Papers 772, Institut d'Économie Industrielle (IDEI), Toulouse, revised Oct 2014.
         • Ronald Mahieu & Peter C. Schotman, 1994. "Stochastic volatility and the distribution of exchange rate news," Discussion Paper / Institute for Empirical Macroeconomics 96, Federal Reserve Bank of Minneapolis.
         • Huang, Yu-Fan, 2015. "Time variation in U.S. monetary policy and credit spreads," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 205-215.
         • Ilias Tsiakas, 2004. "Analysis of the predictive ability of information accumulated over nights, weekends and holidays," Econometric Society 2004 Australasian Meetings 208, Econometric Society.
         • António A. F. Santos, 2015. "On the Forecasting of Financial Volatility Using Ultra-High Frequency Data," GEMF Working Papers 2015-17, GEMF, Faculty of Economics, University of Coimbra.
         • Nakajima, Jouchi & Kunihama, Tsuyoshi & Omori, Yasuhiro & Frühwirth-Schnatter, Sylvia, 2012. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3241-3259.
           • Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2009. "Generalized extreme value distribution with time-dependence using the AR and MA models in state space form," CIRJE F-Series CIRJE-F-689, CIRJE, Faculty of Economics, University of Tokyo.
           • Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruwirth-Scnatter, 2009. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," IMES Discussion Paper Series 09-E-32, Institute for Monetary and Economic Studies, Bank of Japan.
           • Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori & Sylvia Fruhwirth-Schnatter, 2011. "Generalized Extreme Value Distribution with Time-Dependence Using the AR and MA Models in State Space Form," CIRJE F-Series CIRJE-F-782, CIRJE, Faculty of Economics, University of Tokyo.
         • Hong, Yongmiao & Li, Haitao, 2002. "Nonparametric specification testing for continuous-time models with application to spot interest rates," SFB 373 Discussion Papers 2002,32, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
         • Gribisch, Bastian, 2013. "A latent dynamic factor approach to forecasting multivariate stock market volatility," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79823, Verein für Socialpolitik / German Economic Association.
         • Elmar Mertens, 2016. "Measuring the Level and Uncertainty of Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 950-967, December.
           • Elmar Mertens, 2011. "Measuring the level and uncertainty of trend inflation," Finance and Economics Discussion Series 2011-42, Board of Governors of the Federal Reserve System (U.S.).
         • Aleš Černý & Jan Kallsen, 2008. "Mean–Variance Hedging And Optimal Investment In Heston'S Model With Correlation," Mathematical Finance, Wiley Blackwell, vol. 18(3), pages 473-492, July.
         • Guohua Feng & Chuan Wang & Xibin Zhang, 2019. "Estimation of inefficiency in stochastic frontier models: a Bayesian kernel approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 1-19, February.
         • Luc Bauwens & Michel Lubrano, 2007. "Bayesian Inference in Dynamic Disequilibrium Models: An Application to the Polish Credit Market," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 469-486.
           • BAUWENS, Luc & LUBRANO, Michel, 2006. "Bayesian inference in dynamic disequilibrium models: an application to the Polish credit market," LIDAM Discussion Papers CORE 2006050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
           • BAUWENS, Luc & LUBRANO, Michel, 2007. "Bayesian inference in dynamic disequilibrium models: an application to the Polish credit market," LIDAM Reprints CORE 1918, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
           • Luc, BAUWENS & Michel, LUBRANO, 2006. "Bayesian Inference in Dynamic Disequilibrium Models : an Application to the Polish Credit Market," Discussion Papers (ECON - Département des Sciences Economiques) 2006027, Université catholique de Louvain, Département des Sciences Economiques.
         • Pezzo, Rosanna & Uberti, Mariacristina, 2006. "Approaches to forecasting volatility: Models and their performances for emerging equity markets," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 556-565.
         • Tristan Senga Kiessé & Nabil Zougab & Célestin C. Kokonendji, 2016. "Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data," Computational Statistics, Springer, vol. 31(1), pages 189-206, March.
         • Eddie Gerba & Klemens Hauzenberger, 2013. "Estimating US Fiscal and Monetary Interactions in a Time Varying VAR," Studies in Economics 1303, School of Economics, University of Kent.
         • Jong Hee Park, 2010. "Structural Change in U.S. Presidents' Use of Force," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 766-782, July.
         • van Binsbergen, Jules H. & Fernández-Villaverde, Jesús & Koijen, Ralph S.J. & Rubio-Ramírez, Juan, 2012. "The term structure of interest rates in a DSGE model with recursive preferences," Journal of Monetary Economics, Elsevier, vol. 59(7), pages 634-648.
           • Jules H. van Binsbergen & Jesús Fernández-Villaverde & Ralph S.J. Koijen & Juan F. Rubio-Ramírez, 2010. "The Term Structure of Interest Rates in a DSGE Model with Recursive Preferences," PIER Working Paper Archive 10-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
           • Rubio-Ramírez, Juan Francisco & Fernández-Villaverde, Jesús & Koijen, Ralph & van Binsbergen, Jules, 2010. "The Term Structure of Interest Rates in a DSGE Model with Recursive Preferences," CEPR Discussion Papers 7781, C.E.P.R. Discussion Papers.
           • Jules van Binsbergen & Jesús Fernández-Villaverde & Ralph S.J. Koijen & Juan F. Rubio-Ramírez, 2010. "The Term Structure of Interest Rates in a DSGE Model with Recursive Preferences," NBER Working Papers 15890, National Bureau of Economic Research, Inc.
         • Jian Zhou & Zhixin Kang, 2011. "A Comparison of Alternative Forecast Models of REIT Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 275-294, April.
         • Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87, May.
         • Mardi Dungey & Diana Zhumabekova, 2001. "Factor analysis of a model of stock market returns using simulation-based estimation techniques," Pacific Basin Working Paper Series 2001-08, Federal Reserve Bank of San Francisco.
         • Nonejad, Nima, 2018. "Déjà vol oil? Predicting S&P 500 equity premium using crude oil price volatility: Evidence from old and recent time-series data," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 260-270.
         • Kapetanios, G. & Mitchell, J. & Price, S. & Fawcett, N., 2015. "Generalised density forecast combinations," Journal of Econometrics, Elsevier, vol. 188(1), pages 150-165.
           • N. Fawcett & G. Kapetanios & J. Mitchell & S. Price, 2014. "Generalised Density Forecast Combinations," CAMA Working Papers 2014-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
         • Huber, Florian & Rabitsch, Katrin, 2019. "Exchange rate dynamics and monetary policy - Evidence from a non-linear DSGE-VAR approach," Department of Economics Working Paper Series 295, WU Vienna University of Economics and Business.
           • Huber, Florian & Rabithsc, Katrin, 2019. "Exchange rate dynamics and monetary policy: Evidence from a non-linear DSGE-VAR approach," Working Papers in Economics 2019-5, University of Salzburg.
           • Florian Huber & Katrin Rabitsch, 2019. "Exchange rate dynamics and monetary policy -- Evidence from a non-linear DSGE-VAR approach," Department of Economics Working Papers wuwp295, Vienna University of Economics and Business, Department of Economics.
         • Griffin, J.E. & Steel, M.F.J., 2006. "Inference with non-Gaussian Ornstein-Uhlenbeck processes for stochastic volatility," Journal of Econometrics, Elsevier, vol. 134(2), pages 605-644, October.
           • James E. Griffin & Mark F.J. Steel, 2002. "Inference With Non-Gaussian Ornstein-Uhlenbeck Processes for Stochastic Volatility," Econometrics 0201002, University Library of Munich, Germany, revised 04 Apr 2003.
         • Alexander Rathke & Samad Sarferaz, 2014. "Malthus and the Industrial Revolution: Evidence from a Time-Varying VAR," CESifo Working Paper Series 4667, CESifo.
         • Daniel R. Kowal & Antonio Canale, 2021. "Semiparametric Functional Factor Models with Bayesian Rank Selection," Papers 2108.02151, arXiv.org, revised May 2022.
         • Andrew D. Sanford & Gael Martin, 2004. "Bayesian Analysis of Continuous Time Models of the Australian Short Rate," Monash Econometrics and Business Statistics Working Papers 11/04, Monash University, Department of Econometrics and Business Statistics.
         • Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
         • Filippo Pagani & Martin Wiegand & Saralees Nadarajah, 2022. "An n‐dimensional Rosenbrock distribution for Markov chain Monte Carlo testing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 657-680, June.
         • Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
         • Giordani, Paolo & Kohn, Robert, 2008. "Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 66-77, January.
           • Giordani, Paolo & Kohn, Robert, 2006. "Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models," Working Paper Series 196, Sveriges Riksbank (Central Bank of Sweden).
         • Bontemps, Christian & Meddahi, Nour, 2005. "Testing normality: a GMM approach," Journal of Econometrics, Elsevier, vol. 124(1), pages 149-186, January.
           • BONTEMPS, Christian & MEDDAHI, Nour, 2002. "Testing Normality : A GMM Approach," Cahiers de recherche 2002-14, Universite de Montreal, Departement de sciences economiques.
           • Christian Bontemps & Nour Meddahi, 2005. "Testing normality: a GMM approach," Post-Print hal-02875105, HAL.
           • Christian BONTEMPS & Nour MEDDAHI, 2002. "Testing Normality : A Gmm Approach," Cahiers de recherche 14-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
           • Christian Bontemps & Nour Meddahi, 2002. "Testing Normality: A GMM Approach," CIRANO Working Papers 2002s-63, CIRANO.
         • Gil-Alana, Luis A. & Gupta, Rangan & Olubusoye, Olusanya E. & Yaya, OlaOluwa S., 2016. "Time series analysis of persistence in crude oil price volatility across bull and bear regimes," Energy, Elsevier, vol. 109(C), pages 29-37.
           • Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015. "Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes," Working Papers 201580, University of Pretoria, Department of Economics.
         • Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2018. "Reducing Dimensions in a Large TVP-VAR," Working Paper series 18-37, Rimini Centre for Economic Analysis.
           • Joshua C.C. Chan & Eric Eisenstat & Rodney W. Strachan, 2018. "Reducing dimensions in a large TVP-VAR," CAMA Working Papers 2018-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Eric Eisenstat & Joshua C.C. Chan & Rodney W. Strachan, 2018. "Reducing Dimensions in a Large TVP-VAR," Working Paper Series 43, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
         • IIBOSHI Hirokuni & MATSUMAE Tatsuyoshi & NISHIYAMA Shin-Ichi, 2014. "Sources of the Great Recession：A Bayesian Approach of a Data-Rich DSGE model with Time-Varying Volatility Shocks," ESRI Discussion paper series 313, Economic and Social Research Institute (ESRI).
         • Virbickaitė, Audronė & Frey, Christoph & Macedo, Demian N., 2020. "Bayesian sequential stock return prediction through copulas," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
         • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
           • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
           • Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
         • Ming Liu & Harold H. Zhang, "undated". "Specification Tests in the Efficient Method of Moments Framework with Application to the Stochastic Volatility Models," Computing in Economics and Finance 1997 93, Society for Computational Economics.
           • Ming Liu & Harold Zhang, 1996. "Specification Tests in the Efficient Method of Moments Framework with Application to the Stochastic Volatility Models," GSIA Working Papers 34, Carnegie Mellon University, Tepper School of Business.
         • Omori, Yasuhiro & Chib, Siddhartha & Shephard, Neil & Nakajima, Jouchi, 2007. "Stochastic volatility with leverage: Fast and efficient likelihood inference," Journal of Econometrics, Elsevier, vol. 140(2), pages 425-449, October.
         • Huang, Shirley J. & Yu, Jun, 2010. "Bayesian analysis of structural credit risk models with microstructure noises," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2259-2272, November.
           • Shirley J. Huang & Jun Yu, "undated". "Bayesian Analysis of Structural Credit Risk Models with Microstructure Noises," Working Papers CoFie-07-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
           • Shirley J. Huang & Jun Yu, 2009. "Bayesian Analysis of Structural Credit Risk Models with Microstructure Noises," Finance Working Papers 23054, East Asian Bureau of Economic Research.
         • Malik, Sheheryar & Pitt, Michael K, 2009. "Modelling Stochastic Volatility with Leverage and Jumps : A Simulated Maximum Likelihood Approach via Particle Filtering," The Warwick Economics Research Paper Series (TWERPS) 897, University of Warwick, Department of Economics.
         • Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
           • Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 1999. "Daily Exchange Rate Behaviour and Hedging of Currency Risk," Tinbergen Institute Discussion Papers 99-078/4, Tinbergen Institute.
           • Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 1999. "Daily exchange rate behaviour and hedging of currency risk," Econometric Institute Research Papers EI 9936/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
           • Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2000. "Daily Exchange Rate Behaviour and Hedging of Currency Risk," Econometric Society World Congress 2000 Contributed Papers 0504, Econometric Society.
           • Charles S. Bos & Ronald J. Mahieu & Herman K. van Dijk, 2001. "Daily Exchange Rate Behaviour and Hedging of Currency Risk," Tinbergen Institute Discussion Papers 01-017/4, Tinbergen Institute.
           • Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 2000. "Daily exchange rate behaviour and hedging of currency risk," Econometric Institute Research Papers EI 2000-25/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
         • Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2019. "Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors," Journal of Econometrics, Elsevier, vol. 212(1), pages 137-154.
         • Eric Eisenstat & Rodney W. Strachan, 2016. "Modelling Inflation Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 805-820, August.
           • Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Eric Eisenstat & Rodney Strachan, 2014. "Modelling Inflation Volatility," Working Paper series 43_14, Rimini Centre for Economic Analysis.
           • Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • Eymen Errais & Dhikra Bahri, 2016. "Is Standard Deviation a Good Measure of Volatility? the Case of African Markets with Price Limits," Annals of Economics and Finance, Society for AEF, vol. 17(1), pages 145-165, May.
         • Neil Shephard, 2013. "Martingale unobserved component models," Economics Papers 2013-W01, Economics Group, Nuffield College, University of Oxford.
           • Neil Shephard, 2013. "Martingale unobserved component models," Economics Series Working Papers 644, University of Oxford, Department of Economics.
         • Jung, Robert C. & Kukuk, Martin & Liesenfeld, Roman, 2006. "Time series of count data: modeling, estimation and diagnostics," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2350-2364, December.
         • repec:bgu:wpaper:0603 is not listed on IDEAS
         • Solibakke, Per Bjarte, 2001. "A stochastic volatility model specification with diagnostics for thinly traded equity markets," Journal of Multinational Financial Management, Elsevier, vol. 11(4-5), pages 385-406, December.
         • Chen, Yu-Lun & Chang, Yung Ting & Yang, J. Jimmy, 2023. "Cryptocurrency hacking incidents and the price dynamics of Bitcoin spot and futures," Finance Research Letters, Elsevier, vol. 55(PB).
         • Per Bjarte Solibakke, 2003. "Validity of discrete-time stochastic volatility models in non-synchronous equity markets," The European Journal of Finance, Taylor & Francis Journals, vol. 9(5), pages 420-448.
         • Yasuhiro Omori & Toshiaki Watanabe, 2003. "Block Sampler and Posterior Mode Estimation for a Nonlinear and Non-Gaussian State-Space Model with Correlated Errors," CIRJE F-Series CIRJE-F-221, CIRJE, Faculty of Economics, University of Tokyo.
           • Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-space Model with Correlated Errors," CIRJE F-Series CIRJE-F-508, CIRJE, Faculty of Economics, University of Tokyo.
           • Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for A Nonlinear and Non-Gaussian State-Space Model with Correlated Errors," CARF F-Series CARF-F-104, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
         • Toshitaka Sekine & Yuki Teranishi, 2008. "Inflation Targeting and Monetary Policy Activism," IMES Discussion Paper Series 08-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
         • Jensen, Mark J. & Maheu, John M., 2014. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," Journal of Econometrics, Elsevier, vol. 178(P3), pages 523-538.
           • Mark J. Jensen & John M. Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Paper series 45_12, Rimini Centre for Economic Analysis.
           • Mark J Jensen & John M Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Papers tecipa-453, University of Toronto, Department of Economics.
           • Mark J. Jensen & John M. Maheu, 2012. "Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture," FRB Atlanta Working Paper 2012-06, Federal Reserve Bank of Atlanta.
         • George J. Jiang & Pieter J. van der Sluis, 1998. "Pricing Stock Options under Stochastic Volatility and Stochastic Interest Rates with Efficient Method of Moments Estimation," Tinbergen Institute Discussion Papers 98-067/4, Tinbergen Institute.
         • Anufriev, Mikhail & Panchenko, Valentyn, 2015. "Connecting the dots: Econometric methods for uncovering networks with an application to the Australian financial institutions," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 241-255.
         • Pereira Manuel Coutinho & Lopes Artur Silva, 2014. "Time-varying fiscal policy in the US," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(2), pages 157-184, April.
           • Manuel Coutinho Pereira & Artur Silva Lopes, 2010. "Time varying fiscal policy in the U.S," CEMAPRE Working Papers 1004, Centre for Applied Mathematics and Economics (CEMAPRE), School of Economics and Management (ISEG), Technical University of Lisbon.
           • Manuel Coutinho Pereira & Artur Silva Lopes, 2010. "Time-varying fiscal policy in the U.S," Working Papers w201021, Banco de Portugal, Economics and Research Department.
         • Harvey, A. & Chakravarty, T., 2008. "Beta-t-(E)GARCH," Cambridge Working Papers in Economics 0840, Faculty of Economics, University of Cambridge.
         • Mukhoti, Sujay, 2014. "Non-Stationary Stochastic Volatility Model for Dynamic Feedback and Skewness," MPRA Paper 62532, University Library of Munich, Germany.
         • David Chan & Robert Kohn & Chris Kirby, 2006. "Multivariate Stochastic Volatility Models with Correlated Errors," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 245-274.
         • Chan, Joshua & Strachan, Rodney, 2012. "Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods," MPRA Paper 39360, University Library of Munich, Germany.
           • Joshua Chan & Rodney Strachan, 2012. "Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods," CAMA Working Papers 2012-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
         • Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2017. "Have Standard VARS Remained Stable Since the Crisis?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 931-951, August.
           • Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have standard VARs remained stable since the crisis?," Working Paper 2014/13, Norges Bank.
           • Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
           • Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have Standard VARs Remained Stable since the Crisis?," Working Papers (Old Series) 1411, Federal Reserve Bank of Cleveland.
           • Anders Rahbek & Neil Shephard, 2001. "Autoregressive conditional root model," Economics Papers 2002-W7, Economics Group, Nuffield College, University of Oxford, revised 01 Feb 2002.
         • Ewing, Bradley T. & Kang, Wensheng & Ratti, Ronald A., 2018. "The dynamic effects of oil supply shocks on the US stock market returns of upstream oil and gas companies," Energy Economics, Elsevier, vol. 72(C), pages 505-516.
         • Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
         • Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
         • Jiawen Xu & Pierre Perron, 2015. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series wp2015-012, Boston University - Department of Economics.
           • Jiawen Xu & Pierre Perron, 2017. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series WP2018-014, Boston University - Department of Economics, revised Nov 2018.
         • repec:jss:jstsof:41:i13 is not listed on IDEAS
         • Bruno Solnik & Thaisiri Watewai, 2016. "International Correlation Asymmetries: Frequent-but-Small and Infrequent-but-Large Equity Returns," PIER Discussion Papers 31., Puey Ungphakorn Institute for Economic Research, revised Jun 2016.
         • Ping Wu & Gary Koop, 2022. "Fast, Order-Invariant Bayesian Inference in VARs using the Eigendecomposition of the Error Covariance Matrix," Working Papers 2310, University of Strathclyde Business School, Department of Economics.
         • Lopes, Hedibert F., 2014. "Particle learning for Bayesian non-parametric Markov Switching Stochastic Volatility model," DES - Working Papers. Statistics and Econometrics. WS ws142819, Universidad Carlos III de Madrid. Departamento de Estadística.
         • Rodríguez, Gabriel & Vassallo, Renato & Castillo B., Paul, 2023. "Effects of external shocks on macroeconomic fluctuations in Pacific Alliance countries," Economic Modelling, Elsevier, vol. 124(C).
         • Helio Migon & Alexandra Schmidt & Romy Ravines & João Pereira, 2013. "An efficient sampling scheme for dynamic generalized models," Computational Statistics, Springer, vol. 28(5), pages 2267-2293, October.
         • Lu Yang & Shigeyuki Hamori, 2018. "Modeling The Dynamics Of International Agricultural Commodity Prices: A Comparison Of Garch And Stochastic Volatility Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-20, September.
         • Dybowski, T. Philipp, 2015. "Tracing the Role of Foresight on the Effects of U.S. Tax Policy: Evidence from a Time-Varying SVAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113049, Verein für Socialpolitik / German Economic Association.
         • Sandmann, G. & Koopman, Siem, 1996. "Maximum likelihood estimation of stochastic volatility models," LSE Research Online Documents on Economics 119161, London School of Economics and Political Science, LSE Library.
           • G Sandmann & Siem Jan Koopman, 1996. "Maximum Likelihood Estimation of Stochastic Volatility Models," FMG Discussion Papers dp248, Financial Markets Group.
         • Michael Johannes & Arthur Korteweg & Nicholas Polson, 2014. "Sequential Learning, Predictability, and Optimal Portfolio Returns," Journal of Finance, American Finance Association, vol. 69(2), pages 611-644, April.
         • Gerdie Everaert & Lorenzo Pozzi, 2022. "Encompassing measures of international consumption risk sharing and their link with trade and financial globalization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 433-449, March.
         • Samuel Gingras & William J. McCausland, 2020. "A Flexible Stochastic Conditional Duration Model," Papers 2005.09166, arXiv.org.
         • Czudaj, Robert L., 2019. "Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach," Econometrics and Statistics, Elsevier, vol. 12(C), pages 78-145.
           • Robert Czudaj, 2019. "Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach," Chemnitz Economic Papers 030, Department of Economics, Chemnitz University of Technology, revised May 2019.
         • Mehmet Balcilar & Zeynel Abidin Ozdemir, 2020. "A re-examination of growth and growth uncertainty relationship in a stochastic volatility in the mean model with time-varying parameters," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(3), pages 611-641, August.
           • Mehmet Balcilar & Zeynel Abidin Ozdemir, 2017. "A re-examination of growth and growth uncertainty relationship in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-32, Eastern Mediterranean University, Department of Economics.
         • Mukerji, S., 1995. "A theory of play for games in strategic form when rationality is not common knowledge," Discussion Paper Series In Economics And Econometrics 9519, Economics Division, School of Social Sciences, University of Southampton.
         • Frédérique BEC & Othman BOUABDALLAH & Laurent FERRARA, 2011. "The Possible Shapes of Recoveries in Markov-Switching Models," Working Papers 2011-02, Center for Research in Economics and Statistics.
           • Bec, F. & Bouabdallah, O. & Ferrara, L., 2011. "The possible shapes of recoveries in Markov-switching models," Working papers 321, Banque de France.
           • Bec Frederique & Othman Bouabdallah & Laurent Ferrara, 2011. "The possible shapes of recoveries in Markov-Switching models," THEMA Working Papers 2011-02, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
         • repec:ebl:ecbull:v:3:y:2006:i:15:p:1-14 is not listed on IDEAS
         • Lejeune, Bernard, 2009. "A diagnostic m-test for distributional specification of parametric conditional heteroscedasticity models for financial data," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 507-523, June.
         • Renzo Orsi & Davide Raggi & Francesco Turino, 2014. "Size, Trend, and Policy Implications of the Underground Economy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 417-436, July.
           • R. Orsi & D. Raggi & F. Turino, 2012. "Size, Trend, and Policy Implications of the Underground Economy," Working Papers wp818, Dipartimento Scienze Economiche, Universita' di Bologna.
           • Renzo Orsi & Davide Raggi & Francesco Turino, 2013. "Online Appendix to "Size, Trend, and Policy Implications of the Underground Economy"," Online Appendices 12-217, Review of Economic Dynamics.
           • Renzo Orsi & Davide Raggi & Francesco Turino, 2013. "Code and data files for "Size, Trend, and Policy Implications of the Underground Economy"," Computer Codes 12-217, Review of Economic Dynamics.
         • Feigin, Paul D. & Gould, Phillip & Martin, Gael M. & Snyder, Ralph D., 2008. "Feasible parameter regions for alternative discrete state space models," Statistics & Probability Letters, Elsevier, vol. 78(17), pages 2963-2970, December.
         • Milan Fičura & Jiří Witzany, 2018. "Use of Adapted Particle Filters in SVJD Models," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2018(3), pages 5-20.
         • Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
         • Martin Burda & Remi Daviet, 2023. "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, vol. 42(1), pages 54-77, January.
           • Martin Burda & Remi Daviet, 2018. "Hamiltonian Sequential Monte Carlo with Application to Consumer Choice Behavior," Working Papers tecipa-618, University of Toronto, Department of Economics.
         • Nicolas Chopin & Mathieu Gerber, 2017. "Sequential quasi-Monte Carlo: Introduction for Non-Experts, Dimension Reduction, Application to Partly Observed Diffusion Processes," Working Papers 2017-35, Center for Research in Economics and Statistics.
         • Teräsvirta, Timo, 2006. "An introduction to univariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 646, Stockholm School of Economics.
         • Nalan Baştürk & Cem Çakmakli & S. Pinar Ceyhan & Herman K. Van Dijk, 2014. "Posterior‐Predictive Evidence On Us Inflation Using Extended New Keynesian Phillips Curve Models With Non‐Filtered Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1164-1182, November.
           • Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended New Keynesian Phillips Curve Models with Non-filtered Data," Tinbergen Institute Discussion Papers 13-090/III, Tinbergen Institute.
         • Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
           • Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
           • Sebastian Ankargren & M{aa}ns Unosson & Yukai Yang, 2019. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Papers 1911.09151, arXiv.org.
         • Liesenfeld, Roman & Breitung, Jörg, 1998. "Simulation based methods of moments in empirical finance," SFB 373 Discussion Papers 1998,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
           • Liesenfeld, Roman & Breitung, Jörg, 1998. "Simulation based methods of moments in empirical finance," Tübinger Diskussionsbeiträge 136, University of Tübingen, School of Business and Economics.
         • Beckmann, Joscha & Czudaj, Robert L., 2023. "Perceived monetary policy uncertainty," Journal of International Money and Finance, Elsevier, vol. 130(C).
           • Beckmann, Joscha & Czudaj, Robert L., 2022. "Perceived monetary policy uncertainty," MPRA Paper 114964, University Library of Munich, Germany.
         • Eddie Chi-man Hui & Xian Zheng, 2012. "The dynamic correlation and volatility of real estate price and rental: an application of MSV model," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2985-2995, August.
         • David F. Hendry, 2004. "Unpredictability and the Foundations of Economic Forecasting," Econometric Society 2004 Australasian Meetings 27, Econometric Society.
           • David F. Hendry, 2004. "Unpredictability and the Foundations of Economic Forecasting," Economics Papers 2004-W15, Economics Group, Nuffield College, University of Oxford.
         • Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020. "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
         • Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2018. "Modeling volatility dynamics using non-Gaussian stochastic volatility model based on band matrix routine," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 193-201.
         • Barndorff-Nielsen, Ole E. & Shephard, Neil, 2006. "Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 217-252.
           • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
           • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
           • Nolte, Stephan & Grethe, Harald, 2010. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60.
           • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
           • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
           • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
           • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
           • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
           • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
           • Ruttan, Vernon W., 1977. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 2(3), pages 196-216, August.
           • Senauer, Benjamin, 1989. "Major Consumer Trends Affecting the U.S. Food System," Choices, Agricultural and Applied Economics Association, vol. 4(4).
           • Clement A. Tisdell, 2007. "Sustainable Agriculture," Chapters, in: Handbook of Sustainable Development, chapter 22 Edward Elgar Publishing.
           • Thomas Grebel & Andreas Pyka & Horst Hanusch, 2003. "An Evolutionary Approach to the Theory of Entrepreneurship," Industry and Innovation, Taylor & Francis Journals, vol. 10(4), pages 493-514.
           • Friebel, Guido & Schnedler, Wendelin, 2011. "Team governance: Empowerment or hierarchical control," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 1-13, April.
           • Llavador, Humberto & Solano-García, Angel, 2011. "Immigration policy with partisan parties," Journal of Public Economics, Elsevier, vol. 95(1), pages 134-142.
           • Brañas-Garza, Pablo & Espinosa, María Paz & Rey-Biel, Pedro, 2011. "Travelers’ types," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1), pages 25-36.
           • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
           • Jordi Galí & Luca Gambetti, 2013. "The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence," NBER Chapters, in: Lessons from the Financial Crisis for Monetary Policy National Bureau of Economic Research, Inc.
           • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, 06.
           • Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
           • Jordi Galí & Frank Smets & Rafael Wouters, 2011. "Unemployment in an Estimated New Keynesian Model," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 329-360 National Bureau of Economic Research, Inc.
           • Broner, Fernando & Gelos, Gaston & Reinhart, Carmen, 2004. "When in peril, retrench: testing the portfolio channel of contagion," Proceedings, Federal Reserve Bank of San Francisco, issue Jun, pages 1-34.
           • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
           • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
           • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
           • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
           • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
           • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
           • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
           • Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
           • Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
           • Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
           • Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
           • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
           • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
           • Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
           • Kenji Nishizaki & Toshitaka Sekine & Yuichi Ueno & Yuko Kawai, 2013. "Chronic deflation in Japan," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 9-19 Bank for International Settlements.
           • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
           • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
           • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
           • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
           • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
           • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
           • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
           • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
           • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
           • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
           • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 53-61, December.
           • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
           • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
           • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 44-53, 05.
           • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 35-42, 08.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
           • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
           • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
           • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
           • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
           • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
           • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
           • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
           • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
           • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
           • Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-57, January.
           • Facchini, Giovanni & Steinhardt, Max Friedrich, 2011. "What drives U.S. immigration policy? Evidence from congressional roll call votes," Journal of Public Economics, Elsevier, vol. 95(7), pages 734-743.
           • Davide Castellani & Giorgia Giovannetti, 2010. "Productivity and the international firm: dissecting heterogeneity," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 13(1), pages 25-42.
           • Artjoms Ivlevs & Jaime De Melo, 2010. "FDI, the Brain Drain and Trade: Channels and Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 103-121.
           • Julien Gourdon & Nicolas Maystre & Jaime de Melo, 2008. "Openness, inequality and poverty: Endowments matter," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 343-378.
           • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
           • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
           • Lars E. O. Svensson & Michael Woodford, 2000. "Indicator variables for optimal policy," Proceedings, Federal Reserve Bank of San Francisco.
           • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
           • Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 872-912, 06.
           • Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages C25-C44, February.
           • Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117 National Bureau of Economic Research, Inc.
           • Christian Dreger & Hans-Eggert Reimers & Barbara Roffia, 2007. "Long-Run Money Demand in the New EU Member States with Exchange Rate Effects," Eastern European Economics, Taylor & Francis Journals, vol. 45(2), pages 75-94, April.
           • Christian Daude & Marcel Fratzscher, 2007. "The pecking order of cross-border investment," CGFS Papers chapters, in: Bank for International Settlements (ed.), Research on global financial stability: the use of BIS international financial statistics, volume 29, pages 53-89 Bank for International Settlements.
           • Reint Gropp & Jukka M. Vesala & Giuseppe Vulpes, 2002. "Equity and bond market signals as leading indicators of bank fragility," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
           • Kalin Nikolov, 2012. "Bubbles, banks and financial stability," Research Bulletin, European Central Bank, vol. 15, pages 2-6.
           • Forbes, Kristin J. & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2012. "Bubble thy neighbor: portfolio effects and externalities from capital controls," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 1-48.
           • Marcel Fratzscher, 2012. "Capital Controls and Foreign Exchange Policy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 66-98, August.
           • Geert Bekaert & Marie Hoerova, 2010. "Risk, uncertainty and monetary policy," Research Bulletin, European Central Bank, vol. 10, pages 11-13.
           • António Afonso & João Tovar Jalles, 2013. "Fiscal Composition and Long-term Growth," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
           • Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages C45-C90, 02.
           • Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis National Bureau of Economic Research, Inc.
           • Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
           • Elena Bobeica & Paulo Esteves & António Rua & Karsten Staehr, 2016. "Exports and domestic demand pressure: a dynamic panel data model for the euro area countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 107-125, February.
           • Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
           • Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
           • Pierpaolo Benigno & Michael Woodford, 2003. "Optimal monetary and fiscal policy: a linear-quadratic approach," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
           • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
           • Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
           • Fabrice Collard & Harris Dellas, 2003. "The great inflation of the 1970s," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
           • Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
           • Stephen Bond & Dietmar Harhoff & John Van Reenen, 2005. "Investment, R&D and Financial Constraints in Britain and Germany," Annals of Economics and Statistics, GENES, issue 79-80, pages 433-460.
           • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
           • Francesco Caselli & Silvana Tenreyro, 2004. "Is Poland the next Spain?," Communities and Banking, Federal Reserve Bank of Boston.
           • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
           • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
           • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
           • Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, 09.
           • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
           • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
           • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
           • Jo Blanden & Stephen Machin, 2004. "Educational Inequality and the Expansion of UK Higher Education," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 230-249, 05.
           • Anthony J. Venables, 2006. "Shifts in economic geography and their causes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 15-39.
           • Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
           • Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, 06.
           • Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
           • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
           • Richard Freeman & John Van Reenen, 2009. "What if Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38 National Bureau of Economic Research, Inc.
           • Richard Perkins & Eric Neumayer, 2010. "Geographic variations in the early diffusion of corporate voluntary standards: comparing ISO 14001 and the Global Compact," Environment and Planning A, Pion Ltd, London, vol. 42(2), pages 347-365, February.
           • Richard B. Freeman, 2007. "When Workers Share in Profits: Effort and Responses to Shirking," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 9-36, November-.
           • Robert C. Allen & Jean‐Pascal Bassino & Debin Ma & Christine Moll‐Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64(s1), pages 8-38, February.
           • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
           • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
           • Nancy Holman & Gabriel M Ahlfeldt, 2015. "No escape? The coordination problem in heritage preservation," Environment and Planning A, Pion Ltd, London, vol. 47(1), pages 172-187, January.
           • Paul Beaudry & David A. Green & Benjamin M. Sand, 2013. "The Great Reversal in the Demand for Skill and Cognitive Tasks," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 199-247 National Bureau of Economic Research, Inc.
           • Giuseppe Moscarini & Fabien Postel-Vinay, 2013. "Did the Job Ladder Fail after the Great Recession?," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 55-93 National Bureau of Economic Research, Inc.
           • Nuno Ferreira da Cruz & Pedro Simões & Rui Cunha Marques, 2013. "The hurdles of local governments with PPP contracts in the waste sector," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 31(2), pages 292-307, April.
           • Eric Neumayer & Peter Nunnenkamp & Martin Roy, 2016. "Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 177-213, February.
           • Joseph Seidel & Yang Xu, 2016. "MHTEXP: Stata module to perform multiple hypothesis testing correction procedure," Statistical Software Components S458153, Boston College Department of Economics.
           • Heike Hennig-Schmidt & Bettina Rockenbach & Abdolkarim Sadrieh, 2010. "In Search Of Workers' Real Effort Reciprocity-A Field and a Laboratory Experiment," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 817-837, 06.
           • Karlan, Dean & List, John A. & Shafir, Eldar, 2011. "Small matches and charitable giving: Evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 344-350.
           • Matthew T. Cole & Amélie Guillin, 2015. "The determinants of trade agreements in services vs. goods," International Economics, CEPII research center, issue 144, pages 66-82.
           • Yilmazkuday, Hakan, 2016. "Forecasting the Great Trade Collapse," International Economics, Elsevier, vol. 147(C), pages 145-154.
           • Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
           • Georgy Idrisov & Mikhail Khromov & Evgeny Goryunov & Alexander Knobel & Yuri Ponomarev & Alexander Deryugin & Julia Florinskaya & Nikita Mkrtchan, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 16, pages 1-26, November.
           • Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
           • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
           • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
           • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
           • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
           • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
           • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
           • Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
           • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
           • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
           • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
           • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
           • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
           • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
           • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
           • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
           • Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
           • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
           • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
           • Loginov D. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Goryunov Evgeny & Kiyutsevskaya Anna & Larionova M. & Sakharov A. & Shelepov A. & Avraamova A., 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 29, pages 1-26, June.
           • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
           • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
           • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
           • Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
           • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
           • Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 18, pages 1-26, December.
           • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
           • Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
           • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
           • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.
           • Roman Liesenfeld & Guilherme V. Moura & Jean-François Richard & Hariharan Dharmarajan, 2013. "Efficient Likelihood Evaluation of State-Space Representations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(2), pages 538-567.
             • DeJong, David Neil & Dharmarajan, Hariharan & Liesenfeld, Roman & Moura, Guilherme V. & Richard, Jean-François, 2009. "Efficient likelihood evaluation of state-space representations," Economics Working Papers 2009-02, Christian-Albrechts-University of Kiel, Department of Economics.
             • David N. DeJong & Hariharan Dharmarajan & Roman Liesenfeld & Guilherme Moura & Jean-Francois Richard, 2009. "Efficient Likelihood Evaluation of State-Space Representations," Working Papers 2009/15, Czech National Bank.
           • Luis Gruber & Gregor Kastner, 2022. "Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!," Papers 2206.04902, arXiv.org, revised Feb 2025.
           • Pelletier, Denis, 2006. "Regime switching for dynamic correlations," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 445-473.
             • Denis Pelletier, 2004. "Regime Switching for Dynamic Correlations," Econometric Society 2004 North American Summer Meetings 230, Econometric Society.
           • Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
           • Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022. "The global component of inflation volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
             • Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
             • Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
           • Fernando J. Pérez Forero, 2017. "Measuring the Stance of Monetary Policy in a Time-Varying," Working Papers 102, Peruvian Economic Association.
           • Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2001. "High- and Low-Frequency Exchange Rate Volatility Dynamics: Range-Based Estimation of Stochastic Volatility Models," NBER Working Papers 8162, National Bureau of Economic Research, Inc.
           • Gleb Kurovskiy, 2017. "Modelling terms of trade volatility impact on output dynamics in Russia," EcoMod2017 10361, EcoMod.
           • Andersen, Torben G. & Sorensen, Bent E., 1997. "GMM and QML asymptotic standard deviations in stochastic volatility models: Comments on Ruiz (1994)," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 397-403.
           • Gregor Kastner & Sylvia Fruhwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Papers 1602.08154, arXiv.org, revised Jul 2017.
           • Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
             • Siddhartha Chib & Minchul Shin & Fei Tan, 2021. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Working Papers 21-02, Federal Reserve Bank of Philadelphia.
           • Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
           • Berument, Hakan & Yalcin, Yeliz & Yildirim, Julide, 2009. "The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework," Economic Modelling, Elsevier, vol. 26(6), pages 1201-1207, November.
           • Ramis Khabibullin, 2019. "What measures of real economic activity slack are helpful for forecasting Russian inflation?," Bank of Russia Working Paper Series wps50, Bank of Russia.
           • Strickland, Chris M. & Martin, Gael M. & Forbes, Catherine S., 2008. "Parameterisation and efficient MCMC estimation of non-Gaussian state space models," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2911-2930, February.
             • Chris M Strickland & Gael Martin & Catherine S Forbes, 2006. "Parameterisation and Efficient MCMC Estimation of Non-Gaussian State Space Models," Monash Econometrics and Business Statistics Working Papers 22/06, Monash University, Department of Econometrics and Business Statistics.
           • Benjamin K. Johannsen & Elmar Mertens, 2021. "A Time‐Series Model of Interest Rates with the Effective Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 1005-1046, August.
             • Benjamin K. Johannsen & Elmar Mertens, 2016. "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series 2016-033, Board of Governors of the Federal Reserve System (U.S.).
             • Benjamin K Johannsen & Elmar Mertens, 2018. "A time series model of interest rates with the effective lower bound," BIS Working Papers 715, Bank for International Settlements.
           • Andrews, Antony & Kumar, Nikeel Nishkar, 2024. "Decoding financial performance of US-listed entities: A sectoral exploration of input efficiency amid stochastic volatility," Finance Research Letters, Elsevier, vol. 64(C).
           • Keating, John W. & Valcarcel, Victor J., 2017. "What's so great about the Great Moderation?," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 115-142.
           • Andreas Dibiasi & Samad Sarferaz, 2020. "Measuring Macroeconomic Uncertainty: The Labor Channel of Uncertainty from a Cross-Country Perspective," Papers 2006.09007, arXiv.org, revised Dec 2020.
           • Eunhee Lee & Doo Bong Han & Rodolfo M. Nayga, 2017. "A common factor of stochastic volatilities between oil and commodity prices," Applied Economics, Taylor & Francis Journals, vol. 49(22), pages 2203-2215, May.
             • Lee, Eunhee & Han, Doo Bong & Ito, Shoichi & Rodolfo M. Nayga, Jr, 2015. "A common factor of stochastic volatilities between oil and commodity prices," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205771, Agricultural and Applied Economics Association.
           • Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2015. "Comparing the shape of recoveries: France, the UK and the US," Economic Modelling, Elsevier, vol. 44(C), pages 327-334.
             • Frederique Bec & Othman Bouabdallah & Laurent Ferrara, 2015. "Comparing the shapes of recoveries: France, the UK and the US," Post-Print hal-01385943, HAL.
           • Mourmouras, I.A. & Ghosh, S., 1997. "Fiscal policies and the terms of trade in an endogenous growth model with overlapping generations," Discussion Paper Series In Economics And Econometrics 9719, Economics Division, School of Social Sciences, University of Southampton.
           • Malmsten, Hans & Teräsvirta, Timo, 2004. "Stylized Facts of Financial Time Series and Three Popular Models of Volatility," SSE/EFI Working Paper Series in Economics and Finance 563, Stockholm School of Economics, revised 03 Sep 2004.
           • Norris I. Bruce, 2008. "Pooling and Dynamic Forgetting Effects in Multitheme Advertising: Tracking the Advertising Sales Relationship with Particle Filters," Marketing Science, INFORMS, vol. 27(4), pages 659-673, 07-08.
           • Abanto-Valle, C.A. & Bandyopadhyay, D. & Lachos, V.H. & Enriquez, I., 2010. "Robust Bayesian analysis of heavy-tailed stochastic volatility models using scale mixtures of normal distributions," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2883-2898, December.
           • Jun Yu, 2007. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
             • Hans J. Skaug & Jun Yu, 2009. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 15-2009, Singapore Management University, School of Economics.
             • Hans J. Skaug & Jun Yu, 2007. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers CoFie-01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
           • Xibin Zhang & Maxwell L. King, 2011. "Bayesian semiparametric GARCH models," Monash Econometrics and Business Statistics Working Papers 24/11, Monash University, Department of Econometrics and Business Statistics.
           • Charles S. Bos, 2008. "Model-based Estimation of High Frequency Jump Diffusions with Microstructure Noise and Stochastic Volatility," Tinbergen Institute Discussion Papers 08-011/4, Tinbergen Institute.
           • Creel, Michael & Kristensen, Dennis, 2015. "ABC of SV: Limited information likelihood inference in stochastic volatility jump-diffusion models," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 85-108.
             • Michael Creel & Dennis Kristensen, 2014. "ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models," CREATES Research Papers 2014-30, Department of Economics and Business Economics, Aarhus University.
           • Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2016. "Volatility Forecasts Using Nonlinear Leverage Effects," Papers 1605.06482, arXiv.org, revised Dec 2017.
           • Cook, S., 1996. "Econometric methodology II: the role of the philosophy of science," Discussion Paper Series In Economics And Econometrics 9619, Economics Division, School of Social Sciences, University of Southampton.
           • Nils Bertschinger & Iurii Mozzhorin, 2021. "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 173-210, January.
           • Ayala, Astrid & Blazsek, Szabolcs, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.
           • Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
             • Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
           • Guidolin, Massimo & Ravazzolo, Francesco & Tortora, Andrea Donato, 2013. "Alternative econometric implementations of multi-factor models of the U.S. financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 87-111.
           • Eiji Minemura, 2006. "An Interest-rate Model Analysis Based on Data Augmentation Bayesian Forecasting," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1085-1104.
           • Gonzalez, Jhonny & Moriarty, John & Palczewski, Jan, 2017. "Bayesian calibration and number of jump components in electricity spot price models," Energy Economics, Elsevier, vol. 65(C), pages 375-388.
           • Grammig, Joachim & Schaub, Eva-Maria, 2014. "Give me strong moments and time: Combining GMM and SMM to estimate long-run risk asset pricing models," CFS Working Paper Series 479, Center for Financial Studies (CFS).
           • Renzo Pardo Figueroa & Gabriel Rodríguez, 2014. "Distinguishing between True and Spurious Long Memory in the Volatility of Stock Market Returns in Latin America," Documentos de Trabajo / Working Papers 2014-395, Departamento de Economía - Pontificia Universidad Católica del Perú.
           • Toshitaka Sekine, 2006. "Time-varying exchange rate pass-through: experiences of some industrial countries," BIS Working Papers 202, Bank for International Settlements.
           • Hermann Singer, 2003. "Simulated Maximum Likelihood in Nonlinear Continuous-Discrete State Space Models: Importance Sampling by Approximate Smoothing," Computational Statistics, Springer, vol. 18(1), pages 79-106, March.
           • Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
             • Paolo Gorgi & Siem Jan (S.J.) Koopman & Mengheng Li, 2018. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," Tinbergen Institute Discussion Papers 18-026/III, Tinbergen Institute.
           • Huang, Jing-Zhi & Ni, Jun & Xu, Li, 2022. "Leverage effect in cryptocurrency markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
           • Joshua C C Chan & Cody Y L Hsiao, 2013. "Estimation of Stochastic Volatility Models with Heavy Tails and Serial Dependence," CAMA Working Papers 2013-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
           • Minheng Xiao, 2022. "Data-Driven Risk Measurement by SV-GARCH-EVT Model," Papers 2201.09434, arXiv.org, revised Dec 2024.
           • Sun, Weihong & Liu, Ding, 2023. "Great moderation with Chinese characteristics: Uncovering the role of monetary policy," Economic Modelling, Elsevier, vol. 121(C).
           • Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
           • Liu, Ming, 2000. "Modeling long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 99(1), pages 139-171, November.
           • Manopimoke, Pym & Limjaroenrat, Vorada, 2017. "Trend inflation estimates for Thailand from disaggregated data," Economic Modelling, Elsevier, vol. 65(C), pages 75-94.
             • Pym Manopimoke & Vorada Limjaroenrat, 2016. "Trend Inflation Estimates for Thailand from Disaggregated Data," PIER Discussion Papers 51, Puey Ungphakorn Institute for Economic Research.
           • Joanna Janczura & Rafał Weron, 2013. "Goodness-of-fit testing for the marginal distribution of regime-switching models with an application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(3), pages 239-270, July.
           • Avouyi-Dovi, S. & Horny, G. & Sevestre, P., 2013. "The dynamics of bank loans short-term interest rates in the Euro area: what lessons can we draw from the current crisis?," Working papers 462, Banque de France.
           • Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
           • Rodriguez, Gabriel & Castillo B., Paul & Calero, Roberto & Salcedo Cisneros, Rodrigo & Ataurima Arellano, Miguel, 2024. "Evolution of the exchange rate pass-through into prices in Peru: An empirical application using TVP-VAR-SV models," Journal of International Money and Finance, Elsevier, vol. 142(C).
             • Roberto Calero & Gabriel Rodríguez & Rodrigo Salcedo Cisneros, 2022. "Evolution of the Exchange Rate Pass-Throught into Prices in Peru: An Empirical Application Using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2022-510, Departamento de Economía - Pontificia Universidad Católica del Perú.
           • Jan Prüser, 2021. "Forecasting US inflation using Markov dimension switching," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 481-499, April.
           • Ronald Henry Lange, 2018. "The Monetary Transmission Mechanism in Canada: A Time-Varying Vector Autoregression with Stochastic Volatility," Applied Economics and Finance, Redfame publishing, vol. 5(6), pages 42-51, November.
           • repec:hal:journl:peer-00732535 is not listed on IDEAS
           • Siddhartha Chib & Michael K Pitt & Neil Shephard, 2004. "Likelihood based inference for diffusion driven models," OFRC Working Papers Series 2004fe17, Oxford Financial Research Centre.
             • Siddhartha Chib & Michael K Pitt & Neil Shephard, 2004. "Likelihood based inference for diffusion driven models," Economics Papers 2004-W20, Economics Group, Nuffield College, University of Oxford.
           • Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
           • Liu, Wei-han, 2016. "A re-examination of maturity effect of energy futures price from the perspective of stochastic volatility," Energy Economics, Elsevier, vol. 56(C), pages 351-362.
           • Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2024. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," Finance Research Letters, Elsevier, vol. 67(PB).
             • Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2023. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," MPRA Paper 118459, University Library of Munich, Germany.
           • Reneé van Eyden & Rangan Gupta & Christophe André & Xin Sheng, 2022. "The effect of macroeconomic uncertainty on housing returns and volatility: evidence from US state-level data," Chapters, in: Charles K.Y. Leung (ed.), Handbook of Real Estate and Macroeconomics, chapter 8, pages 206-238, Edward Elgar Publishing.
             • Renee van Eyden & Rangan Gupta & Christophe Andre & Xin Sheng, 2021. "The Effect of Macroeconomic Uncertainty on Housing Returns and Volatility: Evidence from US State-Level Data," Working Papers 202131, University of Pretoria, Department of Economics.
             • Renee van Eyden & Rangan Gupta & Christophe Andre & Xin Sheng, 2021. "The Effect of Macroeconomic Uncertainty on Housing Returns and Volatility: Evidence from US State-Level Data," GRU Working Paper Series GRU_2021_008, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
           • Kamalyan, Hayk, 2022. "Data revisions and the effects of monetary policy volatility," Economics Letters, Elsevier, vol. 215(C).
             • Kamalyan, Hayk, 2021. "Data Revisions and the Effects of Monetary Policy Volatility," MPRA Paper 107581, University Library of Munich, Germany.
           • Grassi Stefano & Proietti Tommaso, 2010. "Has the Volatility of U.S. Inflation Changed and How?," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-22, September.
             • Grassi, Stefano & Proietti, Tommaso, 2008. "Has the Volatility of U.S. Inflation Changed and How?," MPRA Paper 11453, University Library of Munich, Germany.
           • Nima Nonejad, 2020. "Does the price of crude oil help predict the conditional distribution of aggregate equity return?," Empirical Economics, Springer, vol. 58(1), pages 313-349, January.
           • Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2014. "Forecasting stock returns under economic constraints," Journal of Financial Economics, Elsevier, vol. 114(3), pages 517-553.
             • Timmermann, Allan & Pettenuzzo, Davide & Valkanov, Rossen, 2013. "Forecasting Stock Returns under Economic Constraints," CEPR Discussion Papers 9377, C.E.P.R. Discussion Papers.
             • Davide Pettenuzzo & Allan Timmermann & Rossen Valkanov, 2013. "Forecasting Stock Returns under Economic Constraints," Working Papers 57, Brandeis University, Department of Economics and International Business School.
           • Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020. "A multi‐country dynamic factor model with stochastic volatility for euro area business cycle analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 911-926, September.
             • Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020. "A multi-country dynamic factor model with stochastic volatility for euro area business cycle analysis," Papers 2001.03935, arXiv.org.
           • Robert Azencott & Yutheeka Gadhyan & Roland Glowinski, 2014. "Option Pricing Accuracy for Estimated Heston Models," Papers 1404.4014, arXiv.org, revised Jul 2015.
           • Soojin Jo, 2012. "The Effects of Oil Price Uncertainty on the Macroeconomy," Staff Working Papers 12-40, Bank of Canada.
           • Tomohiro Ando, 2008. "Measuring the baseline sales and the promotion effect for incense products: a Bayesian state-space modeling approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(4), pages 763-780, December.
           • Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
           • Kinkyo, Takuji, 2022. "The intermediating role of the Chinese renminbi in Asian currency markets: Evidence from partial wavelet coherence," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
           • McCausland, William J., 2012. "The HESSIAN method: Highly efficient simulation smoothing, in a nutshell," Journal of Econometrics, Elsevier, vol. 168(2), pages 189-206.
           • Daichi Hiraki & Siddhartha Chib & Yasuhiro Omori, 2024. "Stochastic Volatility in Mean: Efficient Analysis by a Generalized Mixture Sampler," Papers 2404.13986, arXiv.org, revised Nov 2024.
           • So, Mike K.P. & Choi, C.Y., 2008. "A multivariate threshold stochastic volatility model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 306-317.
           • Florian Huber & Gregor Kastner & Michael Pfarrhofer, 2025. "Introducing shrinkage in heavy-tailed state space models to predict equity excess returns," Empirical Economics, Springer, vol. 68(2), pages 535-553, February.
             • Florian Huber & Gregor Kastner & Michael Pfarrhofer, 2018. "Introducing shrinkage in heavy-tailed state space models to predict equity excess returns," Papers 1805.12217, arXiv.org, revised Jul 2019.
           • Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," GRIPS Discussion Papers 23-07, National Graduate Institute for Policy Studies.
             • Roberto Leon-Gonzalez & Blessings Majon, 2024. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," GRIPS Discussion Papers 24-03, National Graduate Institute for Policy Studies.
             • Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," Working Paper series 23-11, Rimini Centre for Economic Analysis.
           • Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
             • Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
           • Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019. "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, vol. 81(C), pages 1132-1147.
           • Gabriel Rodríguez & Renato Vassallo, 2022. "Time Evolution of External Shocks on Macroeconomic Fluctuations in Pacific Alliance Countries: Empirical Application using TVP-VAR-SV Models," Documentos de Trabajo / Working Papers 2022-508, Departamento de Economía - Pontificia Universidad Católica del Perú.
           • Hartwig, Benny, 2020. "Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model," Discussion Papers 34/2020, Deutsche Bundesbank.
             • Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
           • Chan, Leo & Lien, Donald, 2002. "Measuring the impacts of cash settlement: A stochastic volatility approach," International Review of Economics & Finance, Elsevier, vol. 11(3), pages 251-263.
           • Moon Jung Choi & Geun-Young Kim & Joo Yong Lee, 2015. "An Analysis of Trade Patterns in East Asia and the Effects of the Real Exchange Rate Movements," Working Papers 2015-29, Economic Research Institute, Bank of Korea.
           • Delatola, E.-I. & Griffin, J.E., 2013. "A Bayesian semiparametric model for volatility with a leverage effect," Computational Statistics & Data Analysis, Elsevier, vol. 60(C), pages 97-110.
           • Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," Journal of Econometrics, Elsevier, vol. 201(2), pages 322-332.
             • Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2015. "Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility," PIER Working Paper Archive 15-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 May 2015.
             • Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," CFS Working Paper Series 577, Center for Financial Studies (CFS).
             • Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2016. "Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility," NBER Working Papers 22615, National Bureau of Economic Research, Inc.
           • Travis J. Berge, 2023. "Time-Varying Uncertainty of the Federal Reserve's Output Gap Estimate," The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1191-1206, September.
             • Travis J. Berge, 2020. "Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate," Finance and Economics Discussion Series 2020-012r1, Board of Governors of the Federal Reserve System (U.S.), revised 14 Apr 2021.
           • Rehim Kilic, 2011. "A conditional variance tale from an emerging economy's freely floating exchange rate," Applied Economics, Taylor & Francis Journals, vol. 43(19), pages 2465-2480.
           • Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
           • Petrova, Katerina, 2022. "Asymptotically valid Bayesian inference in the presence of distributional misspecification in VAR models," Journal of Econometrics, Elsevier, vol. 230(1), pages 154-182.
           • Michael P Clements & Ana Beatriz Galvao, 2017. "Data Revisions and Real-time Probabilistic Forecasting of Macroeconomic Variables," ICMA Centre Discussion Papers in Finance icma-dp2017-01, Henley Business School, University of Reading.
           • Aknouche Abdelhakim & Demmouche Nacer & Dimitrakopoulos Stefanos & Touche Nassim, 2020. "Bayesian analysis of periodic asymmetric power GARCH models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-24, September.
           • Tamás Kiss & Hoang Nguyen & Pär Österholm, 2023. "Modelling Okun’s law: Does non-Gaussianity matter?," Empirical Economics, Springer, vol. 64(5), pages 2183-2213, May.
             • Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
           • Dinghai Xu & John Knight, 2013. "Stochastic volatility model under a discrete mixture-of-normal specification," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 216-239, April.
           • Kim, Dongwhan & Kang, Kyu Ho, 2021. "Conditional value-at-risk forecasts of an optimal foreign currency portfolio," International Journal of Forecasting, Elsevier, vol. 37(2), pages 838-861.
           • Tetsuya Takaishi, 2009. "Markov Chain Monte Carlo on Asymmetric GARCH Model Using the Adaptive Construction Scheme," Papers 0909.1478, arXiv.org.
           • István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2017. "Joint Bayesian Analysis of Parameters and States in Nonlinear non‐Gaussian State Space Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1003-1026, August.
             • István Barra & Lennart Hoogerheide & Siem Jan Koopman & André Lucas, 2014. "Joint Bayesian Analysis of Parameters and States in Nonlinear, Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 14-118/III, Tinbergen Institute, revised 31 Mar 2016.
           • Michael T. Belongia & Peter N. Ireland, 2018. "Monetary Policy Lessons from the Greenbook," Boston College Working Papers in Economics 955, Boston College Department of Economics.
           • Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
           • Worapree Maneesoonthorn & David T. Frazier & Gael M. Martin, 2024. "Probabilistic Predictions of Option Prices Using Multiple Sources of Data," Papers 2412.00658, arXiv.org.
           • Sebastian Ankargren & Paulina Jon'eus, 2019. "Estimating Large Mixed-Frequency Bayesian VAR Models," Papers 1912.02231, arXiv.org.
           • Fu, Buben & Wang, Bin, 2020. "The transition of China's monetary policy regime: Before and after the four trillion RMB stimulus," Economic Modelling, Elsevier, vol. 89(C), pages 273-303.
           • Prüser, Jan & Schmidt, Torsten, 2021. "Regional composition of national house price cycles in the US," Regional Science and Urban Economics, Elsevier, vol. 87(C).
           • Danilo Cascaldi-Garcia, 2017. "Amplification effects of news shocks through uncertainty," 2017 Papers pca1251, Job Market Papers.
           • Lyu, Xiaoyi & Hu, Hao, 2024. "The dynamic impact of monetary policy on stock market liquidity," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 388-405.
           • Tetsuya Takaishi, 2008. "Financial Time Series Analysis of SV Model by Hybrid Monte Carlo," Papers 0807.4394, arXiv.org.
           • Chen Gong & David S. Stoffer, 2021. "A Note on Efficient Fitting of Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 186-200, March.
           • Siem Jan Koopman & Marcel Scharth, 2012. "The Analysis of Stochastic Volatility in the Presence of Daily Realized Measures," Journal of Financial Econometrics, Oxford University Press, vol. 11(1), pages 76-115, December.
             • Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.
           • Brockwell, A.E., 2007. "Universal residuals: A multivariate transformation," Statistics & Probability Letters, Elsevier, vol. 77(14), pages 1473-1478, August.
           • Celeux, Gilles & Marin, Jean-Michel & Robert, Christian P., 2006. "Iterated importance sampling in missing data problems," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3386-3404, August.
           • Gerlach, Richard & Chen, Cathy W.S. & Lin, Doris S.Y. & Huang, Ming-Hsiang, 2006. "Asymmetric responses of international stock markets to trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 422-444.
           • Chan, Joshua C.C., 2021. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1212-1226.
             • Joshua C. C. Chan, 2019. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," CAMA Working Papers 2019-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Japanese Economic Association, vol. 68(1), pages 63-94, March.
           • Dao, Chi-Mai & Wolters, Jürgen, 2008. "Common stochastic volatility trends in international stock returns," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 431-445, June.
           • Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
           • Alan Woodland & Kishti Sen, 2010. "The volatility of Australian traded goods' prices," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3849-3869.
           • Arnaud Doucet & Neil Shephard, 2012. "Robust inference on parameters via particle filters and sandwich covariance matrices," Economics Papers 2012-W05, Economics Group, Nuffield College, University of Oxford.
             • Neil Shephard & Arnaud Doucet, 2012. "Robust inference on parameters via particle filters and sandwich covariance matrices," Economics Series Working Papers 606, University of Oxford, Department of Economics.
           • Rayner, J., 1992. "Identification of structural VARs," Discussion Paper Series In Economics And Econometrics 9219, Economics Division, School of Social Sciences, University of Southampton.
           • Benedikt Rotermann & Bernd Wilfling, 2015. "Estimating rational stock-market bubbles with sequential Monte Carlo methods," CQE Working Papers 4015, Center for Quantitative Economics (CQE), University of Muenster.
           • Masahito Kobayashi & Xiuhong Shi, 2005. "Testing for EGARCH Against Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(1), pages 135-150, January.
           • Masaru Chiba & Masahito Kobayashi, 2013. "Testing for a Single-Factor Stochastic Volatility in Bivariate Series," JRFM, MDPI, vol. 6(1), pages 1-31, December.
           • Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
           • S. Borağan Aruoba, 2020. "Term Structures of Inflation Expectations and Real Interest Rates," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 542-553, July.
             • S. Boragan Aruoba, 2016. "Term structures of inflation expectations and real interest rates," Working Papers 16-9, Federal Reserve Bank of Philadelphia.
           • Siddhartha Chib & Neil Shephard, 2001. "Comment on Garland B. Durham and A. Ronald Gallant's "Numerical techniques for maximum likelihood estimation of continuous-time diffusion processes"," Economics Papers 2001-W26, Economics Group, Nuffield College, University of Oxford.
           • Ibrahim Chowdhury & Lucio Sarno, 2004. "Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 759-793, June.
           • Tsionas, Mike G., 2022. "Random and Markov switching exponential smoothing models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
           • Xibin Zhang & Maxwell L. King, 2013. "Gaussian kernel GARCH models," Monash Econometrics and Business Statistics Working Papers 19/13, Monash University, Department of Econometrics and Business Statistics.
           • Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
           • Mehmet Balcilar & Zeynel Abidin Ozdemir, 2018. "The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-34, Eastern Mediterranean University, Department of Economics.
           • Maria Kalli & Jim Griffin, 2015. "Flexible Modeling of Dependence in Volatility Processes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 102-113, January.
           • Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
           • Asai, Manabu, 2009. "Bayesian analysis of stochastic volatility models with mixture-of-normal distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2579-2596.
           • Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
           • Chib, Siddhartha & Nardari, Federico & Shephard, Neil, 2006. "Analysis of high dimensional multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 134(2), pages 341-371, October.
           • Pettenuzzo, Davide & Sabbatucci, Riccardo & Timmermann, Allan, 2023. "Dividend suspensions and cash flows during the Covid-19 pandemic: A dynamic econometric model," Journal of Econometrics, Elsevier, vol. 235(2), pages 1522-1541.
           • Tak Kuen Siu, 2023. "Bayesian nonlinear expectation for time series modelling and its application to Bitcoin," Empirical Economics, Springer, vol. 64(1), pages 505-537, January.
           • Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004. "Stochastic volatility with leverage: fast likelihood inference," Economics Papers 2004-W19, Economics Group, Nuffield College, University of Oxford.
             • Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004. "Stochastic Volatility with Leverage: Fast Likelihood Inference," CIRJE F-Series CIRJE-F-297, CIRJE, Faculty of Economics, University of Tokyo.
             • Neil Shephard & Yashurio Omori & Faculty of Economics & University of Tokyo & Siddhartha Chib & Olin School of Business & Washington University & Jouchi Nakajima & Faculty of Economics & University of, 2004. "Stochastic volatility with leverage: fast likelihood inference," Economics Series Working Papers 2004-FE-16, University of Oxford, Department of Economics.
           • A. Golightly & D. J. Wilkinson, 2005. "Bayesian Inference for Stochastic Kinetic Models Using a Diffusion Approximation," Biometrics, The International Biometric Society, vol. 61(3), pages 781-788, September.
           • David T. Frazier & Eric Renault, 2016. "Indirect Inference With(Out) Constraints," Papers 1607.06163, arXiv.org, revised Aug 2019.
           • Malmsten, Hans, 2004. "Evaluating exponential GARCH models," SSE/EFI Working Paper Series in Economics and Finance 564, Stockholm School of Economics, revised 03 Sep 2004.
           • Langrock, Roland & MacDonald, Iain L. & Zucchini, Walter, 2012. "Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 147-161.
           • Beverly, Joshua P. & Neill, Clinton L. & Stewart, Shamar, 2022. "The Dynamics of Labor Force Participation: All Quiet on the Appalachian Front?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322258, Agricultural and Applied Economics Association.
           • Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
           • Prüser, Jan & Schmidt, Torsten, 2020. "Regional composition of national house price cycles in the US," Ruhr Economic Papers 853, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
           • Garland Durham, 2004. "Likelihood-based estimation and specification analysis of one- and two-factor SV models with leverage effects," Econometric Society 2004 North American Summer Meetings 294, Econometric Society.
           • Bin Chen & Yongmiao Hong, 2013. "Characteristic Function-Based Testing for Multifactor Continuous-Time Markov Models via Nonparametri," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
           • Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
             • Rangan Gupta & Jun Ma & Marian Risse & Mark E. Wohar, 2017. "Common Business Cycles and Volatilities in US States and MSAs: The Role of Economic Uncertainty," Working Papers 201766, University of Pretoria, Department of Economics.
           • Fuest, Angela & Schmidt, Torsten, 2020. "Inflation expectation uncertainty in a New Keynesian framework," Ruhr Economic Papers 867, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
           • Joel Hasbrouck, 1998. "Liquidity in the Futures Pits: Inferring Market Dynamics from Incomplete Data," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-076, New York University, Leonard N. Stern School of Business-.
           • Florian Huber & Michael Pfarrhofer, 2021. "Dynamic shrinkage in time‐varying parameter stochastic volatility in mean models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 262-270, March.
             • Florian Huber & Michael Pfarrhofer, 2020. "Dynamic shrinkage in time-varying parameter stochastic volatility in mean models," Papers 2005.06851, arXiv.org.
           • Mendieta-Muñoz Ivan, 2024. "Time-varying Investment Dynamics in the USA," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-18.
           • Rong Zhang & Brett A. Inder & Xibin Zhang, 2012. "Parameter estimation for a discrete-response model with double rules of sample selection: A Bayesian approach," Monash Econometrics and Business Statistics Working Papers 5/12, Monash University, Department of Econometrics and Business Statistics.
           • Petrella, Ivan & Antolin-Diaz, Juan & Drechsel, Thomas, 2021. "Advances in Nowcasting Economic Activity: Secular Trends, Large Shocks and New Data," CEPR Discussion Papers 15926, C.E.P.R. Discussion Papers.
           • Malik, Ali Khalil, 2005. "European exchange rate volatility dynamics: an empirical investigation," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 187-215, January.
           • Osman Dou{g}an & Raffaele Mattera & Philipp Otto & Suleyman Tac{s}p{i}nar, 2024. "A Dynamic Spatiotemporal and Network ARCH Model with Common Factors," Papers 2410.16526, arXiv.org.
           • Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
             • Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
             • Sungbae An & Frank Schorfheide, 2006. "Bayesian analysis of DSGE models," Working Papers 06-5, Federal Reserve Bank of Philadelphia.
           • Wen, Conghua & Zhai, Jia & Wang, Yinuo & Cao, Yi, 2024. "Implied volatility is (almost) past-dependent: Linear vs non-linear models," International Review of Financial Analysis, Elsevier, vol. 95(PB).
           • Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2004. "Likelihood-Based Estimation of Latent Generalized ARCH Structures," Econometrica, Econometric Society, vol. 72(5), pages 1481-1517, September.
             • Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2002. "Likelihood-based estimation of latent generalised ARCH structures," Economics Papers 2002-W19, Economics Group, Nuffield College, University of Oxford.
             • Neil Shephard & Gabriele Fiorentini & Enrique Sentana, 2003. "Likelihood-based estimation of latent generalised ARCH structures," FMG Discussion Papers dp453, Financial Markets Group.
             • Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2003. "Likelihood-Based Estimation Of Latent Generalised Arch Structures," Working Papers. Serie AD 2003-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
             • Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2004. "Likelihood-based estimation of latent generalised ARCH structures," OFRC Working Papers Series 2004fe02, Oxford Financial Research Centre.
             • Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2002. "Likelihood-Based Estimation of Latent Generalised ARCH Structures," Working Papers wp2002_0204, CEMFI.
             • Fiorentini, Gabriele & Sentana, Enrique & Shephard, Neil, 2003. "Likelihood-based estimation of latent generalised ARCH structures," LSE Research Online Documents on Economics 24852, London School of Economics and Political Science, LSE Library.
           • Oliveira, Fernando Nascimento & Plaga, Alessandra Ribeiro, 2011. "Eficácia das intervenções do Banco Central do Brasil sobre a volatilidade da taxa de câmbio nominal," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(1), March.
           • Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
           • Berger, Tino & Richter, Julia, 2017. "What has caused global business cycle decoupling: Smaller shocks or reduced sensitivity?," University of Göttingen Working Papers in Economics 300, University of Goettingen, Department of Economics.
           • Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
             • Luis Uzeda, 2016. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics 2016-632, Australian National University, College of Business and Economics, School of Economics.
             • Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
           • repec:bla:istatr:v:83:y:2015:i:3:p:405-435 is not listed on IDEAS
           • Julio-Román, Juan Manuel & Gamboa-Estrada, Fredy Alejandro, 2019. "The Exchange Rate and Oil Prices in Colombia: A High Frequency Analysis," Working papers 22, Red Investigadores de Economía.
             • Juan Manuel Julio-Román & Fredy Gamboa-Estrada, 2019. "The Exchange Rate and Oil Prices in Colombia: A High Frequency Analysis," Borradores de Economia 1091, Banco de la Republica de Colombia.
           • Neha Saini & Anil Kumar Mittal, 2019. "On the predictive ability of GARCH and SV models of volatility: An empirical test on the SENSEX index," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(4), pages 1-5.
           • Ole E. Barndorff-Nielsen, 2004. "Power and Bipower Variation with Stochastic Volatility and Jumps," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 1-37.
             • Ole E. Barndorff-Nielsen & Neil Shephard, 2003. "Power and bipower variation with stochastic volatility and jumps," Economics Papers 2003-W17, Economics Group, Nuffield College, University of Oxford.
           • Li, Yong & Yu, Jun & Zeng, Tao, 2020. "Deviance information criterion for latent variable models and misspecified models," Journal of Econometrics, Elsevier, vol. 216(2), pages 450-493.
           • Heejoon Han & Eunhee Lee, 2020. "Triple Regime Stochastic Volatility Model with Threshold and Leverage Effects," Korean Economic Review, Korean Economic Association, vol. 36, pages 481-509.
           • André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).
           • Ren-Her Wang & John Aston & Cheng-Der Fuh, 2010. "The Role of Additional Information in Option Pricing: Estimation Issues for the State Space Model," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 283-307, December.
           • Tsiakas, Ilias, 2008. "Overnight information and stochastic volatility: A study of European and US stock exchanges," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 251-268, February.
           • Didit Nugroho & Takayuki Morimoto, 2015. "Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-Based methods," Computational Statistics, Springer, vol. 30(2), pages 491-516, June.
           • Michal Franta, 2011. "Identification of Monetary Policy Shocks in Japan Using Sign Restrictions within the TVP-VAR Framework," IMES Discussion Paper Series 11-E-13, Institute for Monetary and Economic Studies, Bank of Japan.
           • Zeng, Yan & Li, Danping & Chen, Zheng & Yang, Zhou, 2018. "Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 88(C), pages 70-103.
           • Han Shang, 2014. "Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density," Computational Statistics, Springer, vol. 29(3), pages 829-848, June.
           • Iwata, Yasuharu & Iiboshi, Hirokuni, 2020. "Fiscal Adjustments and Debt-Dependent Multipliers: Evidence from the U.S. Time Series," Discussion paper series HIAS-E-103, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
           • Geweke, John, 2007. "Interpretation and inference in mixture models: Simple MCMC works," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3529-3550, April.
           • Thomas Url & Serguei Kaniovski, 2020. "The Potential Capital Requirement for a Minimum Prices Insurance Scheme for Wheat, Maize, and Rape Seed," WIFO Working Papers 601, WIFO.
           • Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.
           • F. Pancotto & G. Pignataro & D. Raggi, 2014. "Higher order beliefs and the dynamics of exchange rates," Working Papers wp957, Dipartimento Scienze Economiche, Universita' di Bologna.
           • Lemoine, M. & Mougin, C., 2010. "The Growth-Volatility Relationship: New Evidence Based on Stochastic Volatility in Mean Models," Working papers 285, Banque de France.
           • Tsiaplias, Sarantis, 2008. "Factor estimation using MCMC-based Kalman filter methods," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 344-353, December.
           • Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
           • Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.
           • Mr. Sohrab Rafiq, 2013. "The Growth and Stabilization Properties of Fiscal Policy in Malaysia," IMF Working Papers 2013/149, International Monetary Fund.
           • Koop, Gary & Potter, Simon M., 2011. "Time varying VARs with inequality restrictions," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1126-1138, July.
           • Carlos A. Abanto‐Valle & Helio S. Migon & Hedibert F. Lopes, 2010. "Bayesian modeling of financial returns: A relationship between volatility and trading volume," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 172-193, March.
           • A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
           • Jong-Min Kim & Chulhee Jun & Junyoup Lee, 2021. "Forecasting the Volatility of the Cryptocurrency Market by GARCH and Stochastic Volatility," Mathematics, MDPI, vol. 9(14), pages 1-16, July.
           • Helmut Herwartz & Malte Rengel & Fang Xu, 2016. "Local Trends in Price‐to‐Dividend Ratios—Assessment, Predictive Value, and Determinants," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(8), pages 1655-1690, December.
           • Matthias Held & Marcel Omachel, 2014. "An Efficient Parallel Simulation Method for Posterior Inference on Paths of Markov Processes," FEMM Working Papers 140010, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
           • repec:dau:papers:123456789/15030 is not listed on IDEAS
           • Lopes, Hedibert F. & McCulloch, Robert E. & Tsay, Ruey S., 2022. "Parsimony inducing priors for large scale state–space models," Journal of Econometrics, Elsevier, vol. 230(1), pages 39-61.
           • Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
           • Stavros Degiannakis & Alexandra Livada & Epaminondas Panas, 2008. "Rolling-sampled parameters of ARCH and Levy-stable models," Applied Economics, Taylor & Francis Journals, vol. 40(23), pages 3051-3067.
             • Degiannakis, Stavros & Livada, Alexandra & Panas, Epaminondas, 2008. "Rolling-sampled parameters of ARCH and Levy-stable models," MPRA Paper 80464, University Library of Munich, Germany.
           • Legrand, Romain, 2018. "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper 88925, University Library of Munich, Germany.
           • Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by Time-Varying FAVAR," Working Papers hal-01282811, HAL.
           • Romero, Eva, 2024. "Fitting complex stochastic volatility models using Laplace approximation," DES - Working Papers. Statistics and Econometrics. WS 43947, Universidad Carlos III de Madrid. Departamento de Estadística.
           • Kshatriya, Saranya & Prasanna, Krishna, 2021. "Jump Interdependencies: Stochastic linkages among international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
           • Shieh-Liang Chen & Shian-Chang Huang & Yi-Mien Lin, 2007. "Using multivariate stochastic volatility models to investigate the interactions among NASDAQ and major Asian stock indices," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 127-133.
           • Nalan Basturk & Pinar Ceyhan & Herman K. van Dijk, 2014. "Bayesian Forecasting of US Growth using Basic Time Varying Parameter Models and Expectations Data," Tinbergen Institute Discussion Papers 14-119/III, Tinbergen Institute, revised 14 Sep 2014.
           • Anastasios Evgenidis & Costas Siriopoulos, 2015. "What are the International Channels Through Which a US Policy Shock is Transmitted to The World Economies? Evidence from a Time Varying FAVAR," Working Papers 190, Bank of Greece.
           • Tatiana Miazhynskaia & Georg Dorffner, 2006. "A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models," Statistical Papers, Springer, vol. 47(4), pages 525-549, October.
           • David Ardia, 2009. "Bayesian estimation of a Markov-switching threshold asymmetric GARCH model with Student-t innovations," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 105-126, March.
             • Ardia, David, 2007. "Bayesian Estimation of a Markov-Switching Threshold Asymmetric GARCH Model with Student-t Innovations," DQE Working Papers 6, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 08 Jul 2008.
           • Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2019. "The nexus between the oil price and its volatility risk in a stochastic volatility in the mean model with time-varying parameters," Resources Policy, Elsevier, vol. 61(C), pages 572-584.
           • Pitt, Michael K, 2002. "Smooth Particle Filters for Likelihood Evaluation and Maximisation," The Warwick Economics Research Paper Series (TWERPS) 651, University of Warwick, Department of Economics.
           • Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2010. "Dynamic Probabilities of Restrictions in State Space Models: An Application to the Phillips Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 370-379.
             • Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "Dynamic probabilities of restrictions in state space models: An application to the Phillips curve," Working Paper series 26_08, Rimini Centre for Economic Analysis.
           • Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
           • Chib, Siddhartha & Nardari, Federico & Shephard, Neil, 2002. "Markov chain Monte Carlo methods for stochastic volatility models," Journal of Econometrics, Elsevier, vol. 108(2), pages 281-316, June.
           • Michael Weylandt & Yu Han & Katherine B. Ensor, 2019. "Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility," Papers 1907.10152, arXiv.org.
           • Saranya, K. & Prasanna, P. Krishna, 2018. "Estimating stochastic volatility with jumps and asymmetry in Asian markets," Finance Research Letters, Elsevier, vol. 25(C), pages 145-153.
           • T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
           • Daniel J Lewis, 2021. "Identifying Shocks via Time-Varying Volatility [First Order Autoregressive Processes and Strong Mixing]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3086-3124.
             • Daniel J. Lewis, 2018. "Identifying shocks via time-varying volatility," Staff Reports 871, Federal Reserve Bank of New York.
           • Nonejad, Nima, 2014. "Particle Markov Chain Monte Carlo Techniques of Unobserved Component Time Series Models Using Ox," MPRA Paper 55662, University Library of Munich, Germany.
           • Tetsuya Takaishi, 2013. "Empirical Analysis of Stochastic Volatility Model by Hybrid Monte Carlo Algorithm," Papers 1305.3184, arXiv.org.
           • Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
           • S'andor Kuns'agi-M'at'e & G'abor F'ath & Istv'an Csabai & G'abor Moln'ar-S'aska, 2022. "Deep Weighted Monte Carlo: A hybrid option pricing framework using neural networks," Papers 2208.14038, arXiv.org, revised Dec 2022.
           • Ronald Mahieu & Rob Bauer, 1998. "A Bayesian analysis of stock return volatility and trading volume," Applied Financial Economics, Taylor & Francis Journals, vol. 8(6), pages 671-687.
           • Ulm, M. & Hambuckers, J., 2022. "Do interest rate differentials drive the volatility of exchange rates? Evidence from an extended stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 65(C), pages 125-148.
           • Whiteley, Nick, 2021. "Dimension-free Wasserstein contraction of nonlinear filters," Stochastic Processes and their Applications, Elsevier, vol. 135(C), pages 31-50.
           • Fu, Bowen, 2020. "Is the slope of the Phillips curve time-varying? Evidence from unobserved components models," Economic Modelling, Elsevier, vol. 88(C), pages 320-340.
           • Andrew D. Sanford & Gael M. Martin, 2006. "Bayesian comparison of several continuous time models of the Australian short rate," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(2), pages 309-326, June.
           • Wang, Nianling & Lou, Zhusheng, 2023. "Sequential Bayesian analysis for semiparametric stochastic volatility model with applications," Economic Modelling, Elsevier, vol. 123(C).
           • Denis Belomestny & Ekaterina Krymova & Andrey Polbin, 2020. "Estimating TVP-VAR models with time invariant long-run multipliers," Papers 2008.00718, arXiv.org.
           • Balatti, Mirco, 2020. "Inflation volatility in small and large advanced open economies," Working Paper Series 2448, European Central Bank.
           • Michael Smith & Andrew Pitts, 2006. "Foreign Exchange Intervention by the Bank of Japan: Bayesian Analysis Using a Bivariate Stochastic Volatility Model," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 425-451.
           • Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
           • Carvalho, Carlos M. & Lopes, Hedibert F., 2007. "Simulation-based sequential analysis of Markov switching stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4526-4542, May.
           • Didit Budi Nugroho & Takayuki Morimoto, 2019. "Incorporating Realized Quarticity into a Realized Stochastic Volatility Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(4), pages 495-528, December.
           • Xiaodong Du & Fengxia Dong, 2016. "Responses to market information and the impact on price volatility and trading volume: the case of Class III milk futures," Empirical Economics, Springer, vol. 50(2), pages 661-678, March.
           • Praveen Kumar Tripathi & Manika Agarwal, 2024. "A Bayes Analysis of Random Walk Model Under Different Error Assumptions," Annals of Data Science, Springer, vol. 11(5), pages 1635-1652, October.
           • Cross, Jamie L. & Hou, Chenghan & Poon, Aubrey, 2020. "Macroeconomic forecasting with large Bayesian VARs: Global-local priors and the illusion of sparsity," International Journal of Forecasting, Elsevier, vol. 36(3), pages 899-915.
           • Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
           • Stojanović, Vladica S. & Popović, Biljana Č. & Milovanović, Gradimir V., 2016. "The Split-SV model," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 560-581.
           • Ahsan, Md. Nazmul & Dufour, Jean-Marie, 2021. "Simple estimators and inference for higher-order stochastic volatility models," Journal of Econometrics, Elsevier, vol. 224(1), pages 181-197.
           • Godfrey, Leslie G., 2007. "On the asymptotic validity of a bootstrap method for testing nonnested hypotheses," Economics Letters, Elsevier, vol. 94(3), pages 408-413, March.
           • Stock, James H. & Watson, Mark, 2008. "The Evolution of National and Regional Factors in U.S. Housing Construction," Scholarly Articles 28468706, Harvard University Department of Economics.
           • Agata Kliber, 2016. "The leverage effect puzzle: the case of European sovereign credit default swap market," Review of Derivatives Research, Springer, vol. 19(3), pages 217-235, October.
           • Wei Wei & Denis Pelletier, 2015. "A Jump-Diffusion Model with Stochastic Volatility and Durations," CREATES Research Papers 2015-34, Department of Economics and Business Economics, Aarhus University.
           • Cyrille Dubarry & Randal Douc, 2014. "Calibrating the exponential Ornstein--Uhlenbeck multiscale stochastic volatility model," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 443-456, March.
           • Pratiti Chatterjee & David Gunawan & Robert Kohn, 2020. "The Interaction Between Credit Constraints and Uncertainty Shocks," Papers 2004.14719, arXiv.org.
           • Guohua Feng & Todd Jewell, 2021. "Productivity and efficiency at english football clubs: a random coefficient approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(5), pages 571-604, November.
           • Zakaria Moussa, 2016. "How big is the comeback? Japanese exchange rate pass-through assessed by time-varying FAVAR," Post-Print hal-03714934, HAL.
           • Peter McAdam & Kostas Mouratidis & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "European Trade & Growth Imbalances: An Analysis using a Sign-Restriction Bayesian-GVAR with Stochastic Volatility," Working Paper series 23-12, Rimini Centre for Economic Analysis.
           • Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
           • Ibrahim Chowdhury & Lucio Sarno, 2004. "Time‐Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 759-793, June.
             • Ibrahim Chowdhury & Lucio Sarno, 2004. "Time-Varying Volatility in the Foreign Exchange Market: New Evidence on its Persistence and on Currency Spillovers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5-6), pages 759-793.
           • Theodore Simos & Mike Tsionas, 2018. "Bayesian inference of the fractional Ornstein–Uhlenbeck process under a flow sampling scheme," Computational Statistics, Springer, vol. 33(4), pages 1687-1713, December.
           • Joshua C. C. Chan, 2018. "Specification tests for time-varying parameter models with stochastic volatility," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 807-823, September.
             • Joshua C.C. Chan, 2015. "Specification tests for time-varying parameter models with stochastic volatility," CAMA Working Papers 2015-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
           • Sophie Altermatt & Simon Beyeler, 2018. "Shall We Twist?," Diskussionsschriften dp1825, Universitaet Bern, Departement Volkswirtschaft.
             • Sophie Altermatt & Simon Beyeler, 2020. "Shall we twist?," Working Papers 2020-11, Swiss National Bank.
           • Cheng, Ai-ru (Meg) & Gallant, A. Ronald & Ji, Chuanshu & Lee, Beom S., 2008. "A Gaussian approximation scheme for computation of option prices in stochastic volatility models," Journal of Econometrics, Elsevier, vol. 146(1), pages 44-58, September.
           • Chung, Tsz-Kin & Iiboshi, Hirokuni, 2015. "Prediction of Term Structure with Potentially Misspecified Macro-Finance Models near the Zero Lower Bound," MPRA Paper 85709, University Library of Munich, Germany.
           • James Hamilton, 2000. "Book review," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 135-137.
           • Huang Yu-Fan, 2021. "An effcient exact Bayesian method For state space models with stochastic volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-10, April.
           • Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2017. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 110-129, January.
             • Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
             • Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Working Papers 550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
           • Jeongeun Kim & David S. Stoffer, 2008. "Fitting Stochastic Volatility Models in the Presence of Irregular Sampling via Particle Methods and the EM Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 811-833, September.
           • Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
           • Yong Li & Jun Yu, 2010. "A New Bayesian Unit Root Test in Stochastic Volatility Models," Working Papers 21-2010, Singapore Management University, School of Economics, revised Oct 2010.
             • Yong Li & Jun Yu, 2012. "A New Bayesian Unit Root Test in Stochastic Volatility Models," Working Papers 14-2012, Singapore Management University, School of Economics.
           • Watanabe, Toshiaki & Nakajima, Jouchi, 2023. "High-frequency realized stochastic volatility model," Discussion paper series HIAS-E-127, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
           • Vyacheslav Abramov & Fima Klebaner, 2007. "Estimation and Prediction of a Non-Constant Volatility," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(1), pages 1-23, March.
           • Dufrénot, Gilles & Keddad, Benjamin, 2014. "Spillover effects of the 2008 global financial crisis on the volatility of the Indian equity markets: Coupling or uncoupling? A study on sector-based data," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 17-32.
             • Gilles Dufrénot & Benjamin Keddad, 2014. "Spillover effects of the 2008 global financial crisis on the volatility of the Indian equity markets: Coupling or uncoupling? A study on sector-based data," Post-Print hal-01474429, HAL.
           • Tim Oliver Berg, 2015. "Technology News and the US Economy: Time Variation and Structural Changes," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(3), pages 227-263, July.
             • Berg, Tim Oliver, 2011. "Technology news and the U.S. economy: Time variation and structural changes," MPRA Paper 35361, University Library of Munich, Germany.
           • Joshua C.C. Chan & Yong Song, 2018. "Measuring Inflation Expectations Uncertainty Using High‐Frequency Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1139-1166, September.
             • Joshua C C Chan & Yong Song, 2017. "Measuring inflation expectations uncertainty using high-frequency data," CAMA Working Papers 2017-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
           • Neil Shephard & Thomas Flury, 2009. "Learning and filtering via simulation: smoothly jittered particle filters," Economics Series Working Papers 469, University of Oxford, Department of Economics.
           • Jouchi Nakajima & Mike West, 2013. "Bayesian Analysis of Latent Threshold Dynamic Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 151-164, April.
           • Marta Banbura & Andries van Vlodrop, 2018. "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers 18-025/IV, Tinbergen Institute.
           • Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018. "A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
             • Joshua C. C. Chan & Todd E. Clark & Gary Koop, 2015. "A New Model of Inflation, Trend Inflation, and Long-Run Inflation Expectations," Working Papers (Old Series) 1520, Federal Reserve Bank of Cleveland.
           • Tsionas, Mike G., 2021. "Bayesian analysis of static and dynamic Hurst parameters under stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
           • Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
           • Strickland, Chris M. & Turner, Ian. W. & Denham, Robert & Mengersen, Kerrie L., 2009. "Efficient Bayesian estimation of multivariate state space models," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4116-4125, October.
           • Kalimipalli, Madhu & Susmel, Raul, 2004. "Regime-switching stochastic volatility and short-term interest rates," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 309-329, June.
           • Thomas A. Dean & Sumeetpal S. Singh & Ajay Jasra & Gareth W. Peters, 2014. "Parameter Estimation for Hidden Markov Models with Intractable Likelihoods," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 970-987, December.
           • Yan Meng & Xueyan Zhao & Xibin Zhang & Jiti Gao, 2017. "A panel data analysis of hospital variations in length of stay for hip replacements: Private versus public," Monash Econometrics and Business Statistics Working Papers 20/17, Monash University, Department of Econometrics and Business Statistics.
           • Eugenie Hol & Siem Jan Koopman, 2000. "Forecasting the Variability of Stock Index Returns with Stochastic Volatility Models and Implied Volatility," Tinbergen Institute Discussion Papers 00-104/4, Tinbergen Institute.
           • Michal Franta & Ivan Sutoris, 2020. "Dynamics of Czech Inflation: The Role of the Trend and the Cycle," Working Papers 2020/1, Czech National Bank.
           • Kondo, Koji, 1997. "Statistical analysis of foreign exchange rates: application of cointegration model and regime-switching stochastic volatility model," ISU General Staff Papers 1997010108000012997, Iowa State University, Department of Economics.
           • Nima Nonejad, 2021. "Bayesian model averaging and the conditional volatility process: an application to predicting aggregate equity returns by conditioning on economic variables," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1387-1411, August.
           • Yuelin Liu, 2014. "How Structural Is Unemployment in the United States?," Discussion Papers 2014-42, School of Economics, The University of New South Wales.
           • Elder, John, 2021. "Canadian industry level production and energy prices," Energy Economics, Elsevier, vol. 99(C).
           • Jamie L. Cross & Chenghan Hou & Aubrey Poon, 2018. "International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach," Working Papers No 12/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
           • Hall, Stephen & Mizon, Grayham E. & Welfe, Aleksander, 2000. "Modelling economies in transition: an introduction," Economic Modelling, Elsevier, vol. 17(3), pages 339-357, August.
             • Hall, S. & Mizon, G.E. & Welfe, A., 1999. "Modelling economies in transition: an introduction," Discussion Paper Series In Economics And Econometrics 9919, Economics Division, School of Social Sciences, University of Southampton.
           • Fabio Franco, 2019. "Likelihood Induced by Moment Functions Using Particle Filter: a Comparison of Particle GMM and Standard MCMC Methods," CEIS Research Paper 477, Tor Vergata University, CEIS, revised 04 Dec 2019.
           • Yasuhiro Omori & Siddhartha Chib & Neil Shephard & Jouchi Nakajima, 2004. "Stochastic Volatility with Leverage: Fast Likelihood Inference (Revised in April 2006, subsequently published in "Journal of Econometrics", 140, 425-449, 2007. )," CARF F-Series CARF-F-011, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
           • Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.
           • Yasuhiro Omori & Toshiaki Watanabe, 2007. "Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models (Published in "Computational Statistics and Data Analysis", 52-6, 2892-2910. February 2008. )," CARF F-Series CARF-F-103, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
           • Lee, Eunhee, 2019. "Asset prices with stochastic volatilities and a UIP puzzle," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 41-61.
           • Tobias Eckernkemper & Bastian Gribisch, 2021. "Classical and Bayesian Inference for Income Distributions using Grouped Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 32-65, February.
           • G. Everaert & L. Pozzi, 2014. "The dynamics of European financial market integration," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/877, Ghent University, Faculty of Economics and Business Administration.
           • Yves Atchade, 2006. "Resampling from the past to improve on MCMC algorithms," RePAd Working Paper Series LRSP-WP2, Département des sciences administratives, UQO.
           • Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," Working Papers 2020-01, University of Tasmania, Tasmanian School of Business and Economics.
           • Juan Manuel Julio-Román, 2019. "Estimating the Exchange Rate Pass-Through: A Time-Varying Vector Auto-Regression with Residual Stochastic Volatility Approach," Borradores de Economia 1093, Banco de la Republica de Colombia.
             • Julio-Román, Juan Manuel, 2019. "Estimating the Exchange Rate Pass-Through: A Time-Varying Vector Auto-Regression with Residual Stochastic Volatility Approach," Working papers 21, Red Investigadores de Economía.
           • Ringwald, Leopold & Zörner, Thomas O., 2023. "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 293-333.
           • Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).
             • Samad Sarferaz & Andreas Dibiasi, 2020. "Measuring Macroeconomic Uncertainty: A Cross-Country Analysis," KOF Working papers 20-479, KOF Swiss Economic Institute, ETH Zurich.
             • Andreas Dibiasi & Samad Sarferaz, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," Post-Print hal-04167343, HAL.
           • Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
           • Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
           • Qiang Zhang & Rui Luo & Yaodong Yang & Yuanyuan Liu, 2018. "Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series," Papers 1811.03711, arXiv.org.
           • Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.
           • Schlösser, Alexander, 2020. "Forecasting industrial production in Germany: The predictive power of leading indicators," Ruhr Economic Papers 838, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
           • Manabu Asai, 2005. "Comparison of MCMC Methods for Estimating Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 281-301, June.
           • McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
           • Fałdziński, Marcin & Fiszeder, Piotr & Molnár, Peter, 2024. "Improving volatility forecasts: Evidence from range-based models," The North American Journal of Economics and Finance, Elsevier, vol. 69(PB).
           • Nima Nonejad, 2021. "Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions," Empirical Economics, Springer, vol. 61(2), pages 973-1009, August.
           • Alex, Dony, 2021. "Anchoring of inflation expectations in large emerging economies," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
           • Richard D. F. Harris & Murat Mazibas, 2022. "A component Markov regime‐switching autoregressive conditional range model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 650-683, April.
           • Xiao-Bin Liu & Yong Li, 2013. "Bayesian testing volatility persistence in stochastic volatility models with jumps," Quantitative Finance, Taylor & Francis Journals, vol. 14(8), pages 1415-1426, December.
           • Man Chung Fung & Gareth W. Peters & Pavel V. Shevchenko, 2016. "A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting," Papers 1605.09484, arXiv.org.
           • Iiboshi, Hirokuni, 2007. "Duration dependence of the business cycle in Japan: A Bayesian analysis of extended Markov switching model," Japan and the World Economy, Elsevier, vol. 19(1), pages 86-111, January.
           • G. Dhaene, 2004. "Indirect Inference for Stochastic Volatility Models via the Log-Squared Observations," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 421-440.
           • Koehler, Anne & Diebold, Francis X. & Giogianni, Lorenzo & Inoue, Atsushi, 1996. "Software review," International Journal of Forecasting, Elsevier, vol. 12(2), pages 309-315, June.
           • Benjamin Wee, 2024. "Comparing MCMC algorithms in Stochastic Volatility Models using Simulation Based Calibration," Papers 2402.12384, arXiv.org.
           • Lv, Qiming & Schneider, Manuel K. & Pitchford, Jonathan W., 2008. "Individualism in plant populations: Using stochastic differential equations to model individual neighbourhood-dependent plant growth," Theoretical Population Biology, Elsevier, vol. 74(1), pages 74-83.
           • Antonis Demos, 2023. "Statistical Properties of Two Asymmetric Stochastic Volatility in Mean Models," DEOS Working Papers 2303, Athens University of Economics and Business.
           • David Leuwer & Bernd Süssmuth, 2013. "The Exchange Rate Susceptibility of Some European Core Industries and the Currency Union," CESifo Working Paper Series 4253, CESifo.
           • Jonathan R. Stroud & Michael S. Johannes, 2014. "Bayesian Modeling and Forecasting of 24-Hour High-Frequency Volatility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1368-1384, December.
           • Andersen, Torben G. & Chung, Hyung-Jin & Sorensen, Bent E., 1999. "Efficient method of moments estimation of a stochastic volatility model: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 91(1), pages 61-87, July.
           • Wei, Steven X., 2002. "A censored-GARCH model of asset returns with price limits," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 197-223, March.
           • Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2020. "Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 176-197, March.
           • Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020. "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 1-20.
           • Patrick Aschermayr & Konstantinos Kalogeropoulos, 2023. "Sequential Bayesian Learning for Hidden Semi-Markov Models," Papers 2301.10494, arXiv.org.
           • Ralph D. Snyder & Gael M. Martin & Phillip Gould & Paul D. Feigin, 2007. "An Assessment of Alternative State Space Models for Count Time Series," Monash Econometrics and Business Statistics Working Papers 4/07, Monash University, Department of Econometrics and Business Statistics.
           • Wagner Barreto‐Souza & Hernando Ombao, 2022. "The negative binomial process: A tractable model with composite likelihood‐based inference," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 568-592, June.
           • Allan Timmermann, 2018. "Forecasting Methods in Finance," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 449-479, November.
           • Gary Koop & Simon M. Potter, 2007. "A flexible approach to parametric inference in nonlinear time series models," Staff Reports 285, Federal Reserve Bank of New York.
           • Pitt, Michael K., 2002. "Smooth particle filters for likelihood evaluation and maximisation," Economic Research Papers 269464, University of Warwick - Department of Economics.
           • Smith Aaron, 2012. "Markov Breaks in Regression Models," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-35, May.
           • Jim Griffin & Maria Kalli & Mark Steel, 2018. "Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 207-218, June.
           • Alexander Rathke & Samad Sarferaz, 2014. "Malthus and the Industrial Revolution," KOF Working papers 14-351, KOF Swiss Economic Institute, ETH Zurich.
           • Sergey Egiev, 2016. "On Persistence of Uncertainty Shocks," HSE Working papers WP BRP 144/EC/2016, National Research University Higher School of Economics.
           • Pitt, Michael K. & Silva, Ralph dos Santos & Giordani, Paolo & Kohn, Robert, 2012. "On some properties of Markov chain Monte Carlo simulation methods based on the particle filter," Journal of Econometrics, Elsevier, vol. 171(2), pages 134-151.
           • NAKAJIMA, Jouchi, 2025. "Time-varying Local Projections with Stochastic Volatility," Discussion Paper Series 761, Institute of Economic Research, Hitotsubashi University.
           • Joshua C. C. Chan & Eric Eisenstat, 2018. "Bayesian model comparison for time‐varying parameter VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 509-532, June.
             • Joshua C.C. Chan & Eric Eisenstat, 2015. "Bayesian model comparison for time-varying parameter VARs with stochastic volatility," CAMA Working Papers 2015-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
           • Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
           • Liu, Qingfu & Wong, Ieokhou & An, Yunbi & Zhang, Jinqing, 2014. "Asymmetric Information and Volatility Forecasting in Commodity Futures Markets," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 79-97.
           • Joel Hasbrouck, 1998. "Security Bid/Ask Dynamics with Discreteness and Clustering: Simple Strategies for Modeling and Estimation," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-042, New York University, Leonard N. Stern School of Business-.
           • Fulvia Focker & Umberto Triacca, 2006. "A new proxy of the average volatility of a basket of returns: A Monte Carlo study," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-14.
           • Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
             • Marco Del Negro & Giorgio E. Primiceri, 2013. "Time-Varying Structural Vector Autoregressions and Monetary Policy: a Corrigendum," Staff Reports 619, Federal Reserve Bank of New York.
           • Bhatt, Vipul & Kishor, N Kundan & Ma, Jun, 2017. "The impact of EMU on bond yield convergence: Evidence from a time-varying dynamic factor model," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 206-222.
           • Giuseppe Pagano Giorgianni & Valeria Patella, 2024. "Belief distortions and Disagreement about Inflation," Working Paper series 24-08, Rimini Centre for Economic Analysis.
           • Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2019. "The volatility effect on precious metals price returns in a stochastic volatility in mean model with time-varying parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
           • Ole Barndorff-Nielsen & Elisa Nicolato & Neil Shephard, 2002. "Some recent developments in stochastic volatility modelling," Quantitative Finance, Taylor & Francis Journals, vol. 2(1), pages 11-23.
             • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
             • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
             • Nolte, Stephan & Grethe, Harald, 2010. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60.
             • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
             • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
             • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
             • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
             • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
             • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
             • Ruttan, Vernon W., 1977. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 2(3), pages 196-216, August.
             • Senauer, Benjamin, 1989. "Major Consumer Trends Affecting the U.S. Food System," Choices, Agricultural and Applied Economics Association, vol. 4(4).
             • Clement A. Tisdell, 2007. "Sustainable Agriculture," Chapters, in: Handbook of Sustainable Development, chapter 22 Edward Elgar Publishing.
             • Thomas Grebel & Andreas Pyka & Horst Hanusch, 2003. "An Evolutionary Approach to the Theory of Entrepreneurship," Industry and Innovation, Taylor & Francis Journals, vol. 10(4), pages 493-514.
             • Friebel, Guido & Schnedler, Wendelin, 2011. "Team governance: Empowerment or hierarchical control," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 1-13, April.
             • Llavador, Humberto & Solano-García, Angel, 2011. "Immigration policy with partisan parties," Journal of Public Economics, Elsevier, vol. 95(1), pages 134-142.
             • Brañas-Garza, Pablo & Espinosa, María Paz & Rey-Biel, Pedro, 2011. "Travelers’ types," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1), pages 25-36.
             • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
             • Jordi Galí & Luca Gambetti, 2013. "The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence," NBER Chapters, in: Lessons from the Financial Crisis for Monetary Policy National Bureau of Economic Research, Inc.
             • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, 06.
             • Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
             • Jordi Galí & Frank Smets & Rafael Wouters, 2011. "Unemployment in an Estimated New Keynesian Model," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 329-360 National Bureau of Economic Research, Inc.
             • Broner, Fernando & Gelos, Gaston & Reinhart, Carmen, 2004. "When in peril, retrench: testing the portfolio channel of contagion," Proceedings, Federal Reserve Bank of San Francisco, issue Jun, pages 1-34.
             • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
             • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
             • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
             • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
             • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
             • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
             • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
             • Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
             • Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
             • Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
             • Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
             • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
             • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
             • Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
             • Kenji Nishizaki & Toshitaka Sekine & Yuichi Ueno & Yuko Kawai, 2013. "Chronic deflation in Japan," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 9-19 Bank for International Settlements.
             • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
             • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
             • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
             • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
             • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
             • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
             • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
             • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
             • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
             • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
             • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 53-61, December.
             • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
             • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
             • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 44-53, 05.
             • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 35-42, 08.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
             • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
             • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
             • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
             • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
             • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
             • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
             • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
             • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
             • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
             • Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-57, January.
             • Facchini, Giovanni & Steinhardt, Max Friedrich, 2011. "What drives U.S. immigration policy? Evidence from congressional roll call votes," Journal of Public Economics, Elsevier, vol. 95(7), pages 734-743.
             • Davide Castellani & Giorgia Giovannetti, 2010. "Productivity and the international firm: dissecting heterogeneity," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 13(1), pages 25-42.
             • Artjoms Ivlevs & Jaime De Melo, 2010. "FDI, the Brain Drain and Trade: Channels and Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 103-121.
             • Julien Gourdon & Nicolas Maystre & Jaime de Melo, 2008. "Openness, inequality and poverty: Endowments matter," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 343-378.
             • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
             • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
             • Lars E. O. Svensson & Michael Woodford, 2000. "Indicator variables for optimal policy," Proceedings, Federal Reserve Bank of San Francisco.
             • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
             • Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 872-912, 06.
             • Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages C25-C44, February.
             • Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117 National Bureau of Economic Research, Inc.
             • Christian Dreger & Hans-Eggert Reimers & Barbara Roffia, 2007. "Long-Run Money Demand in the New EU Member States with Exchange Rate Effects," Eastern European Economics, Taylor & Francis Journals, vol. 45(2), pages 75-94, April.
             • Christian Daude & Marcel Fratzscher, 2007. "The pecking order of cross-border investment," CGFS Papers chapters, in: Bank for International Settlements (ed.), Research on global financial stability: the use of BIS international financial statistics, volume 29, pages 53-89 Bank for International Settlements.
             • Reint Gropp & Jukka M. Vesala & Giuseppe Vulpes, 2002. "Equity and bond market signals as leading indicators of bank fragility," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
             • Kalin Nikolov, 2012. "Bubbles, banks and financial stability," Research Bulletin, European Central Bank, vol. 15, pages 2-6.
             • Forbes, Kristin J. & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2012. "Bubble thy neighbor: portfolio effects and externalities from capital controls," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 1-48.
             • Marcel Fratzscher, 2012. "Capital Controls and Foreign Exchange Policy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 66-98, August.
             • Geert Bekaert & Marie Hoerova, 2010. "Risk, uncertainty and monetary policy," Research Bulletin, European Central Bank, vol. 10, pages 11-13.
             • António Afonso & João Tovar Jalles, 2013. "Fiscal Composition and Long-term Growth," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
             • Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages C45-C90, 02.
             • Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis National Bureau of Economic Research, Inc.
             • Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
             • Elena Bobeica & Paulo Esteves & António Rua & Karsten Staehr, 2016. "Exports and domestic demand pressure: a dynamic panel data model for the euro area countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 107-125, February.
             • Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
             • Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
             • Pierpaolo Benigno & Michael Woodford, 2003. "Optimal monetary and fiscal policy: a linear-quadratic approach," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
             • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
             • Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
             • Fabrice Collard & Harris Dellas, 2003. "The great inflation of the 1970s," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
             • Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
             • Stephen Bond & Dietmar Harhoff & John Van Reenen, 2005. "Investment, R&D and Financial Constraints in Britain and Germany," Annals of Economics and Statistics, GENES, issue 79-80, pages 433-460.
             • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
             • Francesco Caselli & Silvana Tenreyro, 2004. "Is Poland the next Spain?," Communities and Banking, Federal Reserve Bank of Boston.
             • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
             • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
             • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
             • Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, 09.
             • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
             • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
             • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
             • Jo Blanden & Stephen Machin, 2004. "Educational Inequality and the Expansion of UK Higher Education," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 230-249, 05.
             • Anthony J. Venables, 2006. "Shifts in economic geography and their causes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 15-39.
             • Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
             • Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, 06.
             • Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
             • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
             • Richard Freeman & John Van Reenen, 2009. "What if Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38 National Bureau of Economic Research, Inc.
             • Richard Perkins & Eric Neumayer, 2010. "Geographic variations in the early diffusion of corporate voluntary standards: comparing ISO 14001 and the Global Compact," Environment and Planning A, Pion Ltd, London, vol. 42(2), pages 347-365, February.
             • Richard B. Freeman, 2007. "When Workers Share in Profits: Effort and Responses to Shirking," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 9-36, November-.
             • Robert C. Allen & Jean‐Pascal Bassino & Debin Ma & Christine Moll‐Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64(s1), pages 8-38, February.
             • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
             • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
             • Nancy Holman & Gabriel M Ahlfeldt, 2015. "No escape? The coordination problem in heritage preservation," Environment and Planning A, Pion Ltd, London, vol. 47(1), pages 172-187, January.
             • Paul Beaudry & David A. Green & Benjamin M. Sand, 2013. "The Great Reversal in the Demand for Skill and Cognitive Tasks," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 199-247 National Bureau of Economic Research, Inc.
             • Giuseppe Moscarini & Fabien Postel-Vinay, 2013. "Did the Job Ladder Fail after the Great Recession?," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 55-93 National Bureau of Economic Research, Inc.
             • Nuno Ferreira da Cruz & Pedro Simões & Rui Cunha Marques, 2013. "The hurdles of local governments with PPP contracts in the waste sector," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 31(2), pages 292-307, April.
             • Eric Neumayer & Peter Nunnenkamp & Martin Roy, 2016. "Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 177-213, February.
             • Joseph Seidel & Yang Xu, 2016. "MHTEXP: Stata module to perform multiple hypothesis testing correction procedure," Statistical Software Components S458153, Boston College Department of Economics.
             • Heike Hennig-Schmidt & Bettina Rockenbach & Abdolkarim Sadrieh, 2010. "In Search Of Workers' Real Effort Reciprocity-A Field and a Laboratory Experiment," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 817-837, 06.
             • Karlan, Dean & List, John A. & Shafir, Eldar, 2011. "Small matches and charitable giving: Evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 344-350.
             • Matthew T. Cole & Amélie Guillin, 2015. "The determinants of trade agreements in services vs. goods," International Economics, CEPII research center, issue 144, pages 66-82.
             • Yilmazkuday, Hakan, 2016. "Forecasting the Great Trade Collapse," International Economics, Elsevier, vol. 147(C), pages 145-154.
             • Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
             • Georgy Idrisov & Mikhail Khromov & Evgeny Goryunov & Alexander Knobel & Yuri Ponomarev & Alexander Deryugin & Julia Florinskaya & Nikita Mkrtchan, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 16, pages 1-26, November.
             • Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
             • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
             • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
             • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
             • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
             • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
             • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
             • Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
             • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
             • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
             • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
             • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
             • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
             • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
             • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
             • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
             • Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
             • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
             • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
             • Loginov D. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Goryunov Evgeny & Kiyutsevskaya Anna & Larionova M. & Sakharov A. & Shelepov A. & Avraamova A., 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 29, pages 1-26, June.
             • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
             • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
             • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
             • Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
             • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
             • Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 18, pages 1-26, December.
             • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
             • Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
             • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
             • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia'
             • Calzolari, G. & Fiorentini, G. & Sentana, E., 2000. "Constrained EMM and Indirect Inference Estimation," Papers 0005, Centro de Estudios Monetarios Y Financieros-.
               • Gabriele Fiorentini & Enrique Sentana & Giorgio Calzolari, 2000. "Constrained Emm And Indirect Inference Estimation," Working Papers. Serie AD 2000-26, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
             • repec:hum:wpaper:sfb649dp2008-063 is not listed on IDEAS
             • Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
             • repec:dau:papers:123456789/6215 is not listed on IDEAS
             • Bontemps, Christian, 2014. "Simple moment-based tests for value-at-risk models and discrete distribution," TSE Working Papers 14-535, Toulouse School of Economics (TSE).
             • Franses, Ph.H.B.F. & van der Leij, M.J. & Paap, R., 2005. "A simple test for GARCH against a stochastic volatility," Econometric Institute Research Papers EI 2005-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
             • Asai, Manabu, 2008. "Autoregressive stochastic volatility models with heavy-tailed distributions: A comparison with multifactor volatility models," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 332-341, March.
             • Wang, Joanna J.J., 2012. "On asymmetric generalised t stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2079-2095.
             • Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
               • Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
             • James H. Stock & Mark W. Watson, 2019. "Trend, Seasonal, and Sectoral Inflation in the Euro Area," Working Papers 2019-30, Princeton University. Economics Department..
             • Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
             • Juan Hoyo & Guillermo Llorente & Carlos Rivero, 2020. "A Testing Procedure for Constant Parameters in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 163-186, June.
             • Carlos A. Abanto-Valle & Gabriel Rodríguez & Luis M. Castro Cepero & Hernán B. Garrafa-Aragón, 2024. "Approximate Bayesian Estimation of Stochastic Volatility in Mean Models Using Hidden Markov Models: Empirical Evidence from Emerging and Developed Markets," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1775-1801, September.
             • Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos & Touche, Nassim, 2019. "Integer-valued stochastic volatility," MPRA Paper 91962, University Library of Munich, Germany, revised 04 Feb 2019.
             • Adam Clements & Stan Hurn & Scott White, 2006. "Estimating Stochastic Volatility Models Using a Discrete Non-linear Filter. Working paper #3," NCER Working Paper Series 3, National Centre for Econometric Research.
             • Grammig, Joachim & Schaub, Eva-Maria, 2014. "Give me strong moments and time - Combining GMM and SMM to estimate long-run risk asset pricing models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100607, Verein für Socialpolitik / German Economic Association.
             • Malin Gardberg & Lorenzo (L.C.G.) Pozzi, 2018. "Consumption and wealth in the long run: an integrated unobserved component approach," Tinbergen Institute Discussion Papers 18-046/VI, Tinbergen Institute, revised 13 Sep 2018.
             • Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
             • Hau, Liya & Zhu, Huiming & Huang, Rui & Ma, Xiang, 2020. "Heterogeneous dependence between crude oil price volatility and China’s agriculture commodity futures: Evidence from quantile-on-quantile regression," Energy, Elsevier, vol. 213(C).
             • Siem Jan Koopman & Eugenie Hol Uspensky, 2000. "The Stochastic Volatility in Mean Model," Tinbergen Institute Discussion Papers 00-024/4, Tinbergen Institute.
             • Rezitis, Anthony N. & Kastner, Gregor, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(2), January.
               • Anthony N. Rezitis & Gregor Kastner, 2021. "On the joint volatility dynamics in international dairy commodity markets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(3), pages 704-728, July.
             • Tsuyoshi Kunihama & Yasuhiro Omori & Zhengjun Zhang, 2010. "Bayesian Estimation and Particle Filter for Max-Stable Processes," CIRJE F-Series CIRJE-F-757, CIRJE, Faculty of Economics, University of Tokyo.
             • Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
             • Prüser, Jan & Schlösser, Alexander, 2017. "The effects of economic policy uncertainty on European economies: Evidence from a TVP-FAVAR," Ruhr Economic Papers 708, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
             • Cavaliere, Giuseppe & Taylor, A.M. Robert, 2007. "Testing for unit roots in time series models with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 140(2), pages 919-947, October.
             • Salima El Kolei, 2012. "Parametric estimation of hidden stochastic model by contrast minimization and deconvolution: application to the Stochastic Volatility Model," Papers 1202.2559, arXiv.org, revised Mar 2013.
             • Massimiliano De Santis, 2005. "Movements in the Equity Premium: Evidence from a Bayesian Time-Varying VAR," Money Macro and Finance (MMF) Research Group Conference 2005 62, Money Macro and Finance Research Group.
             • Y. K. Tse & Xibin Zhang & Jun Yu, 2004. "Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 158-169.
             • Rafiq Sohrab, 2012. "Is Discretionary Fiscal Policy in Japan Effective?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-49, August.
             • M. Berument & Yeliz Yalcin & Julide Yildirim, 2011. "The inflation and inflation uncertainty relationship for Turkey: a dynamic framework," Empirical Economics, Springer, vol. 41(2), pages 293-309, October.
             • Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Papers (Old Series) 1218, Federal Reserve Bank of Cleveland.
               • Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
             • Lee, Eunhee & Han, Doo Bong, 2016. "Oil Price Volatility and Asymmetric Leverage Effects," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235480, Agricultural and Applied Economics Association.
             • Jin-Yu Zhang & Zhong-Tian Chen & Yong Li, 2019. "Bayesian Testing for Leverage Effect in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1153-1164, March.
             • István Barra & Agnieszka Borowska & Siem Jan Koopman, 2018. "Bayesian Dynamic Modeling of High-Frequency Integer Price Changes," Journal of Financial Econometrics, Oxford University Press, vol. 16(3), pages 384-424.
               • Istvan Barra & Siem Jan Koopman & Agnieszka Borowska, 2016. "Bayesian Dynamic Modeling of High-Frequency Integer Price Changes," Tinbergen Institute Discussion Papers 16-028/III, Tinbergen Institute, revised 16 Feb 2018.
             • MacLeod, W.B. & Malcomson, J.M., 1993. "Motivation, markets and dual economies," Discussion Paper Series In Economics And Econometrics 9319, Economics Division, School of Social Sciences, University of Southampton.
             • Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
             • Alex Hsu & Francisco Palomino & Liang Qian, 2023. "Gone with the Vol: A Decline in Asset Return Predictability During the Great Moderation," Management Science, INFORMS, vol. 69(5), pages 3025-3047, May.
             • Roland Langrock & Théo Michelot & Alexander Sohn & Thomas Kneib, 2015. "Semiparametric stochastic volatility modelling using penalized splines," Computational Statistics, Springer, vol. 30(2), pages 517-537, June.
             • Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.
             • Roberto Casarin & Domenico Sartore, 2007. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 2007_30, Department of Economics, University of Venice "Ca' Foscari".
               • Roberto Casarin & Domenico sartore, 2008. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 0816, University of Brescia, Department of Economics.
             • Lee Kai Ming & Koopman Siem Jan, 2004. "Estimating Stochastic Volatility Models: A Comparison of Two Importance Samplers," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-17, May.
             • Jamie L. Cross & Chenghan Hou & Gary Koop, 2021. "Macroeconomic Forecasting with Large Stochastic Volatility in Mean VARs," Working Papers No 04/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
             • Bali, Turan G. & Wu, Liuren, 2006. "A comprehensive analysis of the short-term interest-rate dynamics," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1269-1290, April.
             • Leuwer, David & Süßmuth, Bernd, 2017. "The exchange rate susceptibility of European core industries, 1995-2010," Working Papers 147, University of Leipzig, Faculty of Economics and Management Science.
             • Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2020. "Copula stochastic volatility in oil returns: Approximate Bayesian computation with volatility prediction," Energy Economics, Elsevier, vol. 92(C).
             • Xiaohui Zhang & Katharina Hauck & Xueyan Zhao, 2013. "Patient Safety In Hospitals – A Bayesian Analysis Of Unobservable Hospital And Specialty Level Risk Factors," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1158-1174, September.
             • repec:dgr:rugsom:98a40 is not listed on IDEAS
             • Mike G. Tsionas & Valentin Zelenyuk, 2022. "Testing for Optimization Behavior in Production when Data is with Measurement Errors: A Bayesian Approach," CEPA Working Papers Series WP012022, School of Economics, University of Queensland, Australia.
             • Cathy Chen & Feng-Chi Liu & Mike So, 2013. "Threshold variable selection of asymmetric stochastic volatility models," Computational Statistics, Springer, vol. 28(6), pages 2415-2447, December.
             • Brandt, Michael W. & Wu, Tao, 2002. "Cross-sectional tests of deterministic volatility functions," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 525-550, December.
             • Awijen, Haithem & Ben Zaied, Younes & Nguyen, Duc Khuong & Sensoy, Ahmet, 2020. "Endogenous Financial Uncertainty and Macroeconomic Volatility: Evidence from the United States," MPRA Paper 101276, University Library of Munich, Germany, revised Jun 2020.
             • Nima Nonejad, 2013. "Particle Markov Chain Monte Carlo Techniques of Unobserved Component Time Series Models Using Ox," CREATES Research Papers 2013-27, Department of Economics and Business Economics, Aarhus University.
             • Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
             • Ahmed Bel Hadj Ayed & Gr'egoire Loeper & Fr'ed'eric Abergel, 2015. "Forecasting trends with asset prices," Papers 1504.03934, arXiv.org, revised Apr 2015.
             • Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
               • Deschamps, Philippe J., 2011. "Bayesian Estimation of Generalized Hyperbolic Skewed Student GARCH Models," DQE Working Papers 16, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 09 Jun 2012.
             • Kumar, Utkarsh & Ahmad, Wasim, 2024. "Navigating the “twin titans” of global manufacturing: The impact of US and China on industrial production forecasting in G20 nations," Pacific-Basin Finance Journal, Elsevier, vol. 87(C).
             • Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
               • Deschamps, Philippe J., 2009. "Bayesian estimation of an extended local scale stochastic volatility model," DQE Working Papers 15, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.
             • Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Springer, vol. 68(1), pages 63-94, March.
             • Joris de Wind & Luca Gambetti, 2014. "Reduced-rank time-varying vector autoregressions," CPB Discussion Paper 270, CPB Netherlands Bureau for Economic Policy Analysis.
             • Chiara Pederzoli, 2006. "Stochastic Volatility and GARCH: a Comparison Based on UK Stock Data," The European Journal of Finance, Taylor & Francis Journals, vol. 12(1), pages 41-59.
             • Lee, Woojoo & Lim, Johan & Lee, Youngjo & del Castillo, Joan, 2011. "The hierarchical-likelihood approach to autoregressive stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 248-260, January.
             • Kim C. Raath & Katherine B. Ensor, 2023. "Wavelet-L2E Stochastic Volatility Models: an Application to the Water-Energy Nexus," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 150-176, May.
             • Soojin Jo, 2014. "The Effects of Oil Price Uncertainty on Global Real Economic Activity," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(6), pages 1113-1135, September.
             • Lukas Berend & Jan Pruser, 2024. "The Transmission of Monetary Policy via Common Cycles in the Euro Area," Papers 2410.05741, arXiv.org, revised Nov 2024.
             • Ravazzolo Francesco & Rothman Philip, 2016. "Oil-price density forecasts of US GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 441-453, September.
               • Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
             • Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2020. "Measuring Uncertainty and Its Effects in the COVID-19 Era," Working Papers 20-32R, Federal Reserve Bank of Cleveland, revised 05 Jan 2022.
               • Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd & Mertens, Elmar, 2021. "Measuring Uncertainty and Its Effects in the COVID-19 Era," CEPR Discussion Papers 15965, C.E.P.R. Discussion Papers.
             • Noriyuki Kunimoto & Kazuhiko Kakamu, 2021. "Is Bitcoin really a currency? A viewpoint of a stochastic volatility model," Papers 2111.15351, arXiv.org.
             • Daniela Castro Camilo & Miguel de Carvalho & Jennifer Wadsworth, 2017. "Time-Varying Extreme Value Dependence with Application to Leading European Stock Markets," Papers 1709.01198, arXiv.org.
             • Wu, Xinyu & Wang, Xiaona, 2020. "Forecasting volatility using realized stochastic volatility model with time-varying leverage effect," Finance Research Letters, Elsevier, vol. 34(C).
             • Michael S. Johannes & Nicholas G. Polson & Jonathan R. Stroud, 2009. "Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2559-2599, July.
             • Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016. "Time-varying Combinations of Bayesian Dynamic Models and Equity Momentum Strategies," Tinbergen Institute Discussion Papers 16-099/III, Tinbergen Institute.
             • Bo Zhang, 2019. "Real‐time inflation forecast combination for time‐varying coefficient models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(3), pages 175-191, April.
             • Osman Doğan & Süleyman Taşpınar & Anil K. Bera, 2021. "Bayesian estimation of stochastic tail index from high-frequency financial data," Empirical Economics, Springer, vol. 61(5), pages 2685-2711, November.
             • Han, Yufeng, 2012. "State uncertainty in stock markets: How big is the impact on the cost of equity?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2575-2592.
             • Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019. "Threshold Stochastic Volatility Models with Heavy Tails:A Bayesian Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 32-53.
             • Peñaranda, Francisco, 2003. "Evaluation of joint density forecasts of stock and bond returns: predictability and parameter uncertainty," LSE Research Online Documents on Economics 24857, London School of Economics and Political Science, LSE Library.
             • Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.
             • Li, Yong & Yu, Jun & Zeng, Tao, 2018. "Integrated Deviance Information Criterion for Latent Variable Models," Economics and Statistics Working Papers 6-2018, Singapore Management University, School of Economics.
             • Caio Ibsen Rodrigues de Almeida & Samy Dana, 2005. "Stochastic Volatility and Option Pricing in the Brazilian Stock Marke," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 4(2), pages 169-206, August.
             • Sakaria, D.K. & Griffin, J.E., 2017. "On efficient Bayesian inference for models with stochastic volatility," Econometrics and Statistics, Elsevier, vol. 3(C), pages 23-33.
             • Ellington, Michael & Florackis, Chris & Milas, Costas, 2017. "Liquidity shocks and real GDP growth: Evidence from a Bayesian time-varying parameter VAR," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 93-117.
               • Michael Ellington & Chris Florackis & Costas Milas, 2016. "Liquidity Shocks and Real GDP Growth: Evidence from a Bayesian Time-varying Parameter VAR," Working Paper series 16-28, Rimini Centre for Economic Analysis.
             • Thomas B Götz & Klemens Hauzenberger, 2021. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 442-461.
             • Trojan, Sebastian, 2014. "Modeling Intraday Stochastic Volatility and Conditional Duration Contemporaneously with Regime Shifts," Economics Working Paper Series 1425, University of St. Gallen, School of Economics and Political Science.
             • Jouchi Nakajima, 2008. "EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns," IMES Discussion Paper Series 08-E-23, Institute for Monetary and Economic Studies, Bank of Japan.
             • Didier Nibbering, 2019. "A High-dimensional Multinomial Choice Model," Monash Econometrics and Business Statistics Working Papers 19/19, Monash University, Department of Econometrics and Business Statistics.
             • Grant, Angelia L., 2018. "The Great Recession and Okun's law," Economic Modelling, Elsevier, vol. 69(C), pages 291-300.
             • Juan R. Hernández, 2024. "Covered interest parity: a forecasting approach to estimate the neutral band," BIS Working Papers 1206, Bank for International Settlements.
             • Raggi, Davide & Bordignon, Silvano, 2006. "Comparing stochastic volatility models through Monte Carlo simulations," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1678-1699, April.
             • Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Bank of Finland Research Discussion Papers 20/2008, Bank of Finland.
             • Nima Nonejad, 2019. "Has the 2008 financial crisis and its aftermath changed the impact of inflation on inflation uncertainty in member states of the european monetary union?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(2), pages 246-276, May.
             • Chan, Leo & Lien, Donald, 2003. "Using high, low, open, and closing prices to estimate the effects of cash settlement on futures prices," International Review of Financial Analysis, Elsevier, vol. 12(1), pages 35-47.
             • repec:wyi:journl:002173 is not listed on IDEAS
             • Qizilbash, M., 1994. "Corruption, temptation and guilt: moral character in economic theory," Discussion Paper Series In Economics And Econometrics 9419, Economics Division, School of Social Sciences, University of Southampton.
             • Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
             • Masahiro Watanabe, 2003. "A Model of Stochastic Liquidity," Yale School of Management Working Papers ysm385, Yale School of Management.
             • Luo, Weijie & Wang, Yong & Zhang, Xiaoge, 2022. "Monetary policy uncertainty and firm risk-taking," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
             • Zhang, Rong & Inder, Brett A. & Zhang, Xibin, 2015. "Bayesian estimation of a discrete response model with double rules of sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 81-96.
             • Perry Sadorsky, 2005. "Stochastic volatility forecasting and risk management," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 121-135.
             • Ahmed Hachicha & Fatma Hachicha & Afif Masmoudi, 2012. "A comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 479-493, May.
             • Bhatt, Vipul & Kishor, N. Kundan, 2021. "(A)Synchronous Housing Markets of Global Cities," MPRA Paper 107175, University Library of Munich, Germany.
             • Mário Correia Fernandes & José Carlos Dias & João Pedro Vidal Nunes, 2024. "Performance comparison of alternative stochastic volatility models and its determinants in energy futures: COVID‐19 and Russia–Ukraine conflict features," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 343-383, March.
             • Chon, Sora & Kim, Jaeho, 2021. "Does the Financial Leverage Effect Depend on Volatility Regimes?," Finance Research Letters, Elsevier, vol. 39(C).
             • Brandt, Michael W. & Jones, Christopher S., 2005. "Bayesian range-based estimation of stochastic volatility models," Finance Research Letters, Elsevier, vol. 2(4), pages 201-209, December.
             • Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
             • Vo, Minh & Cohen, Michael & Boulter, Terry, 2015. "Asymmetric risk and return: Evidence from the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 35(PB), pages 558-573.
             • Yun, Jaeho, 2011. "The role of time-varying jump risk premia in pricing stock index options," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 833-846.
             • Cappé Olivier, 2001. "Recursive computation of smoothed functionals of hidden Markovian processes using a particle approximation," Monte Carlo Methods and Applications, De Gruyter, vol. 7(1-2), pages 81-92, December.
             • Denitsa Stefanova, 2012. "Stock Market Asymmetries: A Copula Diffusion," Tinbergen Institute Discussion Papers 12-125/IV/DSF45, Tinbergen Institute.
             • Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023. "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, vol. 232(2), pages 501-520.
             • Mikkelsen, Peter, 2001. "MCMC Based Estimation of Term Structure Models," Finance Working Papers 01-7, University of Aarhus, Aarhus School of Business, Department of Business Studies.
             • Griffin, Jim E. & Mitrodima, Gelly, 2020. "A Bayesian quantile time series model for asset returns," LSE Research Online Documents on Economics 105610, London School of Economics and Political Science, LSE Library.
             • Yong Li & Jun Yu, 2019. "An Improved Bayesian Unit Root Test in Stochastic Volatility Models," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 103-122, May.
             • Naoko Hara & Kazuhiro Hiraki & Yoshitaka Ichise, 2015. "Changing Exchange Rate Pass-Through in Japan: Does It Indicate Changing Pricing Behavior?," Bank of Japan Working Paper Series 15-E-4, Bank of Japan.
             • Ayala, Astrid & Blazsek, Szabolcs, 2019. "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics 28638, Universidad Carlos III de Madrid. Departamento de Economía.
             • Tetsuya Takaishi, 2010. "Bayesian estimation of GARCH model with an adaptive proposal density," Papers 1012.5986, arXiv.org, revised Dec 2010.
             • Gordon V. Chavez, 2019. "Dynamic tail inference with log-Laplace volatility," Papers 1901.02419, arXiv.org, revised Jul 2019.
             • repec:rim:rimwps:26-08 is not listed on IDEAS
             • Yang, Jian & Zhou, Yinggang & Wang, Zijun, 2009. "The stock-bond correlation and macroeconomic conditions: One and a half centuries of evidence," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 670-680, April.
             • Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
               • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
               • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
               • Nolte, Stephan & Grethe, Harald, 2010. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60.
               • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
               • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
               • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
               • Nolte, Stephan & Grethe, Harald, 2008. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(1).
               • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(1).
               • Nolte, Stephan & Grethe, Harald, 2009. "Der Markt für Zucker," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59.
               • Ruttan, Vernon W., 1977. "Induced innovation and agricultural development," Food Policy, Elsevier, vol. 2(3), pages 196-216, August.
               • Senauer, Benjamin, 1989. "Major Consumer Trends Affecting the U.S. Food System," Choices, Agricultural and Applied Economics Association, vol. 4(4).
               • Clement A. Tisdell, 2007. "Sustainable Agriculture," Chapters, in: Handbook of Sustainable Development, chapter 22 Edward Elgar Publishing.
               • Thomas Grebel & Andreas Pyka & Horst Hanusch, 2003. "An Evolutionary Approach to the Theory of Entrepreneurship," Industry and Innovation, Taylor & Francis Journals, vol. 10(4), pages 493-514.
               • Friebel, Guido & Schnedler, Wendelin, 2011. "Team governance: Empowerment or hierarchical control," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 1-13, April.
               • Llavador, Humberto & Solano-García, Angel, 2011. "Immigration policy with partisan parties," Journal of Public Economics, Elsevier, vol. 95(1), pages 134-142.
               • Brañas-Garza, Pablo & Espinosa, María Paz & Rey-Biel, Pedro, 2011. "Travelers’ types," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1), pages 25-36.
               • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
               • Jordi Galí & Luca Gambetti, 2013. "The Effects of Monetary Policy on Stock Market Bubbles: Some Evidence," NBER Chapters, in: Lessons from the Financial Crisis for Monetary Policy National Bureau of Economic Research, Inc.
               • Alison Booth & Melvyn Coles, 2010. "Education, Matching, and the Allocative Value of Romance," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 744-775, 06.
               • Olivier Jean Blanchard & Jordi Galí, 2005. "Real wage rigidities and the New Keynesian model," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
               • Jordi Galí & Frank Smets & Rafael Wouters, 2011. "Unemployment in an Estimated New Keynesian Model," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 329-360 National Bureau of Economic Research, Inc.
               • Broner, Fernando & Gelos, Gaston & Reinhart, Carmen, 2004. "When in peril, retrench: testing the portfolio channel of contagion," Proceedings, Federal Reserve Bank of San Francisco, issue Jun, pages 1-34.
               • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
               • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
               • Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
               • Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-75, November.
               • Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-76, August.
               • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
               • Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-36, July.
               • Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
               • Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
               • Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
               • Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
               • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
               • Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
               • Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November.
               • Kenji Nishizaki & Toshitaka Sekine & Yuichi Ueno & Yuko Kawai, 2013. "Chronic deflation in Japan," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 9-19 Bank for International Settlements.
               • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
               • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
               • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juli 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(15), pages 67-69, 08.
               • Klaus Wohlrabe, 2012. "ifo Konjunkturtest Juni 2012 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(12), pages 55-57, 06.
               • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
               • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
               • Klaus Abberger, 2010. "ifo Konjunkturtest Juli 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(14), pages 44-46, 07.
               • Klaus Abberger, 2010. "ifo Konjunkturtest Juni 2010 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(12), pages 69-71, 06.
               • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
               • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
               • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(23), pages 53-61, December.
               • Klaus Abberger, 2008. "ifo Konjunkturtest Juli 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(14), pages 46-48, 07.
               • Klaus Abberger, 2008. "ifo Konjunkturtest Juni 2008 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(12), pages 61-63, 06.
               • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(10), pages 44-53, 05.
               • Gernot Nerb & Anna Stangl, 2008. "ifo Indikator für das Weltwirtschaftsklima weiter gesunken," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(16), pages 35-42, 08.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
               • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
               • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
               • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
               • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juni 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(12), pages 55-56, 06.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juni 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(12), pages 55-56, 06.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juni 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 49-50, 07.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juni 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(12), pages 42-43, 06.
               • Hans G. Russ, 2002. "ifo Konjunkturtest Juni 2002 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 55(13), pages 44-45, 07.
               • Hans G. Russ, 2004. "ifo Konjunkturtest Juli 2004 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 57(14), pages 28-29, 07.
               • Hans G. Russ, 2006. "ifo Konjunkturtest Juli 2006 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(15), pages 41-42, 08.
               • Hans G. Russ, 2003. "ifo Konjunkturtest Juli 2003 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 56(15), pages 40-41, 08.
               • Hans G. Russ, 2005. "ifo Konjunkturtest Juli 2005 in Kürze," Ifo Schnelldienst, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 52-53, 08.
               • Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-57, January.
               • Facchini, Giovanni & Steinhardt, Max Friedrich, 2011. "What drives U.S. immigration policy? Evidence from congressional roll call votes," Journal of Public Economics, Elsevier, vol. 95(7), pages 734-743.
               • Davide Castellani & Giorgia Giovannetti, 2010. "Productivity and the international firm: dissecting heterogeneity," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 13(1), pages 25-42.
               • Artjoms Ivlevs & Jaime De Melo, 2010. "FDI, the Brain Drain and Trade: Channels and Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 103-121.
               • Julien Gourdon & Nicolas Maystre & Jaime de Melo, 2008. "Openness, inequality and poverty: Endowments matter," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 17(3), pages 343-378.
               • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
               • Robert N. McCauley, 2012. "Risk-on/risk-off, capital flows, leverage and safe assets," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 8(3), pages 281-298, August.
               • Lars E. O. Svensson & Michael Woodford, 2000. "Indicator variables for optimal policy," Proceedings, Federal Reserve Bank of San Francisco.
               • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
               • Keith Kuester & Volker Wieland, 2010. "Insurance Policies for Monetary Policy in the Euro Area," Journal of the European Economic Association, European Economic Association, vol. 8(4), pages 872-912, 06.
               • Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages C25-C44, February.
               • Domenico Giannone & Michele Lenza, 2010. "The Feldstein-Horioka Fact," NBER Chapters, in: NBER International Seminar on Macroeconomics 2009, pages 103-117 National Bureau of Economic Research, Inc.
               • Christian Dreger & Hans-Eggert Reimers & Barbara Roffia, 2007. "Long-Run Money Demand in the New EU Member States with Exchange Rate Effects," Eastern European Economics, Taylor & Francis Journals, vol. 45(2), pages 75-94, April.
               • Christian Daude & Marcel Fratzscher, 2007. "The pecking order of cross-border investment," CGFS Papers chapters, in: Bank for International Settlements (ed.), Research on global financial stability: the use of BIS international financial statistics, volume 29, pages 53-89 Bank for International Settlements.
               • Reint Gropp & Jukka M. Vesala & Giuseppe Vulpes, 2002. "Equity and bond market signals as leading indicators of bank fragility," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
               • Kalin Nikolov, 2012. "Bubbles, banks and financial stability," Research Bulletin, European Central Bank, vol. 15, pages 2-6.
               • Forbes, Kristin J. & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2012. "Bubble thy neighbor: portfolio effects and externalities from capital controls," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 1-48.
               • Marcel Fratzscher, 2012. "Capital Controls and Foreign Exchange Policy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(2), pages 66-98, August.
               • Geert Bekaert & Marie Hoerova, 2010. "Risk, uncertainty and monetary policy," Research Bulletin, European Central Bank, vol. 10, pages 11-13.
               • António Afonso & João Tovar Jalles, 2013. "Fiscal Composition and Long-term Growth," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
               • Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14, pages C45-C90, 02.
               • Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Chapters, in: Global Financial Crisis National Bureau of Economic Research, Inc.
               • Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
               • Elena Bobeica & Paulo Esteves & António Rua & Karsten Staehr, 2016. "Exports and domestic demand pressure: a dynamic panel data model for the euro area countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 107-125, February.
               • Peter Hördahl & David Vestin, 2005. "Interpreting Implied Risk-Neutral Densities: The Role of Risk Premia," Review of Finance, European Finance Association, vol. 9(1), pages 97-137.
               • Charles Engel & Kenneth D. West, 2003. "Exchange rates and fundamentals," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
               • Pierpaolo Benigno & Michael Woodford, 2003. "Optimal monetary and fiscal policy: a linear-quadratic approach," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
               • J. Galí & D. López-Salido & J. Vallés, 2003. "Understanding the effects of government spending on consumption," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
               • Athanasios Orphanides & John C. Williams, 2003. "The decline of activist stabilization policy: natural rate misperceptions, learning, and expectations," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
               • Fabrice Collard & Harris Dellas, 2003. "The great inflation of the 1970s," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
               • Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
               • Stephen Bond & Dietmar Harhoff & John Van Reenen, 2005. "Investment, R&D and Financial Constraints in Britain and Germany," Annals of Economics and Statistics, GENES, issue 79-80, pages 433-460.
               • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
               • Francesco Caselli & Silvana Tenreyro, 2004. "Is Poland the next Spain?," Communities and Banking, Federal Reserve Bank of Boston.
               • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
               • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
               • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
               • Christopher A. Pissarides, 2009. "The Unemployment Volatility Puzzle: Is Wage Stickiness the Answer?," Econometrica, Econometric Society, vol. 77(5), pages 1339-1369, 09.
               • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
               • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
               • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
               • Jo Blanden & Stephen Machin, 2004. "Educational Inequality and the Expansion of UK Higher Education," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(2), pages 230-249, 05.
               • Anthony J. Venables, 2006. "Shifts in economic geography and their causes," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 15-39.
               • Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
               • Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, 06.
               • Larcinese, Valentino & Puglisi, Riccardo & Snyder, James M., 2011. "Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers," Journal of Public Economics, Elsevier, vol. 95(9), pages 1178-1189.
               • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
               • Richard Freeman & John Van Reenen, 2009. "What if Congress Doubled R&D Spending on the Physical Sciences?," NBER Chapters, in: Innovation Policy and the Economy, Volume 9, pages 1-38 National Bureau of Economic Research, Inc.
               • Richard Perkins & Eric Neumayer, 2010. "Geographic variations in the early diffusion of corporate voluntary standards: comparing ISO 14001 and the Global Compact," Environment and Planning A, Pion Ltd, London, vol. 42(2), pages 347-365, February.
               • Richard B. Freeman, 2007. "When Workers Share in Profits: Effort and Responses to Shirking," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 9-36, November-.
               • Robert C. Allen & Jean‐Pascal Bassino & Debin Ma & Christine Moll‐Murata & Jan Luiten Van Zanden, 2011. "Wages, prices, and living standards in China, 1738–1925: in comparison with Europe, Japan, and India," Economic History Review, Economic History Society, vol. 64(s1), pages 8-38, February.
               • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
               • Miklós Koren & Silvana Tenreyro, 2007. "Technological diversification," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
               • Nancy Holman & Gabriel M Ahlfeldt, 2015. "No escape? The coordination problem in heritage preservation," Environment and Planning A, Pion Ltd, London, vol. 47(1), pages 172-187, January.
               • Paul Beaudry & David A. Green & Benjamin M. Sand, 2013. "The Great Reversal in the Demand for Skill and Cognitive Tasks," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 199-247 National Bureau of Economic Research, Inc.
               • Giuseppe Moscarini & Fabien Postel-Vinay, 2013. "Did the Job Ladder Fail after the Great Recession?," NBER Chapters, in: Labor Markets in the Aftermath of the Great Recession, pages 55-93 National Bureau of Economic Research, Inc.
               • Nuno Ferreira da Cruz & Pedro Simões & Rui Cunha Marques, 2013. "The hurdles of local governments with PPP contracts in the waste sector," Environment and Planning C: Government and Policy, Pion Ltd, London, vol. 31(2), pages 292-307, April.
               • Eric Neumayer & Peter Nunnenkamp & Martin Roy, 2016. "Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(1), pages 177-213, February.
               • Joseph Seidel & Yang Xu, 2016. "MHTEXP: Stata module to perform multiple hypothesis testing correction procedure," Statistical Software Components S458153, Boston College Department of Economics.
               • Heike Hennig-Schmidt & Bettina Rockenbach & Abdolkarim Sadrieh, 2010. "In Search Of Workers' Real Effort Reciprocity-A Field and a Laboratory Experiment," Journal of the European Economic Association, MIT Press, vol. 8(4), pages 817-837, 06.
               • Karlan, Dean & List, John A. & Shafir, Eldar, 2011. "Small matches and charitable giving: Evidence from a natural field experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 344-350.
               • Matthew T. Cole & Amélie Guillin, 2015. "The determinants of trade agreements in services vs. goods," International Economics, CEPII research center, issue 144, pages 66-82.
               • Yilmazkuday, Hakan, 2016. "Forecasting the Great Trade Collapse," International Economics, Elsevier, vol. 147(C), pages 145-154.
               • Georgy Idrisov & Yuri Bobylev & Arseny Mamedov & Olga Morgunova & Mikhail Khromov & Sergey Tsukhlo & Olesia Rasenko, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 15, pages 1-26, November.
               • Georgy Idrisov & Mikhail Khromov & Evgeny Goryunov & Alexander Knobel & Yuri Ponomarev & Alexander Deryugin & Julia Florinskaya & Nikita Mkrtchan, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 16, pages 1-26, November.
               • Alexander Knobel & Yuri Bobylev & Alexandra Bozhechkova & Pavel Trunin & Mikhail Khromov & Natalia Shagaida & Vasily Uzun & Elena Avraamova & D. Loginov, 2015. "Online Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-economic Development," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 14, pages 1-26, October.
               • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
               • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
               • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
               • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
               • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
               • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
               • Sergey Drobyshevsky & Mikhail Khromov & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
               • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
               • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
               • Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
               • Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
               • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
               • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
               • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
               • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
               • Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
               • Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
               • Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
               • Loginov D. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Goryunov Evgeny & Kiyutsevskaya Anna & Larionova M. & Sakharov A. & Shelepov A. & Avraamova A., 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 29, pages 1-26, June.
               • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
               • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 32, pages 1-27, September.
               • Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
               • Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
               • Firanchuk Alexander & Shagaida Natalia & Mamedov Arseny & Fomina Elena & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 26, pages 1-27, May.
               • Alexandra Bozhechkova & Alexander Knobel & Georgy Idrisov & Yuri Ponomarev & Sergey Tsukhlo & Pavel Trunin & Sergey Sudakov & Alexandra Burdyak & Elena Grishina, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 18, pages 1-26, December.
               • Mikhail Khromov & Sergey Drobyshevsky & Maria Kazakova & Sergey Tsukhlo & Natalia Shagaida & Natalia Zubarevich, 2015. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 17, pages 1-26, December.
               • Bozhechkova Alexandra & Trunin Pavel & Grishina Elena & Khromov Mikhail & Tsukhlo Sergey & Deryugin Alexander & Burdyak Alexandra, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 31, pages 1-27, July.
               • Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
               • Idrisov Georgy & Loginova D. & Knobel Alexander & Firanchuk Alexander & Tsukhlo Sergey & Uzun Vasily & Kaukin Andrey & Zubarevich Natalia, 2016. "Online Monitoring of Russia's Economic Outlook," Monitoring of R
               • Vorada Limjaroenrat, 2017. "Distributional Effects of Monetary Policy on Housing Bubbles: Some Evidence," PIER Discussion Papers 74, Puey Ungphakorn Institute for Economic Research.
               • Fu, Bowen & Mendieta-Munoz, Ivan, 2025. "Trend inflation and structural shocks," EconStor Preprints 308793, ZBW - Leibniz Information Centre for Economics.
               • Rong Zhang & Brett A. Inder & Xibin Zhang, 2013. "Bayesian estimation of a discrete response model with double rules of sample selection," Monash Econometrics and Business Statistics Working Papers 24/13, Monash University, Department of Econometrics and Business Statistics.
               • Durham, Garland B., 2003. "Likelihood-based specification analysis of continuous-time models of the short-term interest rate," Journal of Financial Economics, Elsevier, vol. 70(3), pages 463-487, December.
               • Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.