Time Series Analysis by State Space Methods

Citations

Cited by:

1. Maximilian Grimm & Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2023. "Loose Monetary Policy and Financial Instability," Working Paper Series 2023-06, Federal Reserve Bank of San Francisco.
   • Grimm, Maximilian & Jordà , Ã’scar & Schularick, Moritz & Taylor, Alan M., 2023. "Loose monetary policy and financial instability," CEPR Discussion Papers 17896, C.E.P.R. Discussion Papers.
   • Maximilian Grimm & Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2023. "Loose Monetary Policy and Financial Instability," NBER Working Papers 30958, National Bureau of Economic Research, Inc.
2. Taras Lazariv & Wolfgang Schmid, 2019. "Surveillance of non-stationary processes," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(3), pages 305-331, September.
3. Victor Bystrov, 2018. "Measuring the Natural Rates of Interest in Germany and Italy," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(4), pages 333-353, December.
   • Bystrov Victor, 2018. "Measuring the Natural Rates of Interest in Germany and Italy," Lodz Economics Working Papers 7/2018, University of Lodz, Faculty of Economics and Sociology.
4. Florian Heiss, 2008. "Sequential numerical integration in nonlinear state space models for microeconometric panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 373-389.
5. Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with a New Approach to Nonlinear Filtering," Econometrics, MDPI, vol. 6(4), pages 1-22, December.
   • Yukai Yang & Luc Bauwens, 2018. "State-space models on the Stiefel Manifold with a new approach to nonlinear filtering," LIDAM Reprints CORE 2985, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   • Yukai Yang & Luc Bauwens, 2018. "State-Space Models on the Stiefel Manifold with A New Approach to Nonlinear Filtering," CREATES Research Papers 2018-30, Department of Economics and Business Economics, Aarhus University.
6. Emanuele Aliverti & Stefano Mazzuco & Bruno Scarpa, 2022. "Dynamic modelling of mortality via mixtures of skewed distribution functions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1030-1048, July.
7. Sbrana, Giacomo & Silvestrini, Andrea, 2020. "Forecasting with the damped trend model using the structural approach," International Journal of Production Economics, Elsevier, vol. 226(C).
8. Arias, Maria A. & Gascon, Charles S. & Rapach, David E., 2016. "Metro business cycles," Journal of Urban Economics, Elsevier, vol. 94(C), pages 90-108.
   • Maria A. Arias & Charles S. Gascon & David E. Rapach, 2014. "Metro Business Cycles," Working Papers 2014-46, Federal Reserve Bank of St. Louis.
9. Fernando Tusell, 2008. "An Introduction to State Space Time Series Analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 756-757, June.
10. Harvey, A. & Simons, J., 2024. "Hidden Threshold Models with applications to asymmetric cycles," Cambridge Working Papers in Economics 2448, Faculty of Economics, University of Cambridge.
11. Helske, Jouni, 2017. "KFAS: Exponential Family State Space Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 78(i10).
12. Dainauskas, Justas, 2023. "Time-varying exchange rate pass-through into terms of trade," LSE Research Online Documents on Economics 120000, London School of Economics and Political Science, LSE Library.
13. Fernández-Macho, Javier, 2008. "Spectral estimation of a structural thin-plate smoothing model," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 189-195, September.
14. Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal From Uncertain Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.
    • Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007. "A state space approach to extracting the signal from uncertain data," Bank of England working papers 336, Bank of England.
    • Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal from Uncertain Data," Working Papers 637, Queen Mary University of London, School of Economics and Finance.
15. André Lucas & Siem Jan Koopman, 2005. "Business and default cycles for credit risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 311-323.
    • Siem Jan Koopman & André Lucas, 2005. "Business and default cycles for credit risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 311-323.
    • Siem Jan Koopman & André Lucas, 2003. "Business and Default Cycles for Credit Risk," Tinbergen Institute Discussion Papers 03-062/2, Tinbergen Institute, revised 09 Jan 2003.
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. Tommaso PROIETTI, 2002. "Some Reflections on Trend-Cycle Decompositions with Correlated Components," Economics Working Papers ECO2002/23, European University Institute.
    • Tommaso Proietti, 2002. "Some Reflections on Trend-Cycle Decompositions with Correlated Components," Econometrics 0209002, University Library of Munich, Germany.
18. Avanzi, Benjamin & Taylor, Greg & Vu, Phuong Anh & Wong, Bernard, 2020. "A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 50-71.
19. Mamadou Cisse & Mamadou Konte & Mohamed Toure & Smael Afolabi Assani, 2019. "Contribution to the Valuation of BRVM’s Assets: A Conditional CAPM Approach," JRFM, MDPI, vol. 12(1), pages 1-15, February.
20. 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.
21. Andrew C. Harvey, 2020. "Time series models for epidemics: leading indicators, control groups and policy assessment," National Institute of Economic and Social Research (NIESR) Discussion Papers 517, National Institute of Economic and Social Research.
22. Michael Vogt & Oliver Linton, 2014. "Nonparametric estimation of a periodic sequence in the presence of a smooth trend," Biometrika, Biometrika Trust, vol. 101(1), pages 121-140.
    • Oliver Linton & Michael Vogt, 2012. "Nonparametric estimation of a periodic sequence in the presence of a smooth trend," CeMMAP working papers CWP23/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Oliver Linton & Michael Vogt, 2012. "Nonparametric estimation of a periodic sequence in the presence of a smooth trend," CeMMAP working papers 23/12, Institute for Fiscal Studies.
23. Helder Rojas & David Dias, 2020. "Transmission of macroeconomic shocks to risk parameters: Their uses in stress testing," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 36(3), pages 353-380, May.
24. Pino, Osvaldo & Contreras, Sergio & Acuña, Andrés, 2007. "Descomposición Estructural de las Series de Desempleo: Una Aplicación para las Ciudades de la Región del Bío Bío
    [Structural decomposition for unemployment rate data: an application for the cities ," MPRA Paper 14692, University Library of Munich, Germany.
25. Koopman, Siem Jan & Lucas, Andre & Monteiro, Andre, 2008. "The multi-state latent factor intensity model for credit rating transitions," Journal of Econometrics, Elsevier, vol. 142(1), pages 399-424, January.
    • Siem Jan Koopman & André Lucas & André Monteiro, 2005. "The Multi-State Latent Factor Intensity Model for Credit Rating Transitions," Tinbergen Institute Discussion Papers 05-071/4, Tinbergen Institute, revised 04 Jul 2005.
26. Koopman, Siem Jan & Lucas, André, 2008. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 510-525.
    • Siem Jan Koopman & André Lucas & Robert Daniels, 2005. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Tinbergen Institute Discussion Papers 05-060/4, Tinbergen Institute.
27. Siem Jan Koopman & Kai Ming Lee, 2009. "Seasonality with trend and cycle interactions in unobserved components models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(4), pages 427-448, September.
    • Siem Jan Koopman & Kai Ming Lee, 0000. "Seasonality with Trend and Cycle Interactions in Unobserved Components Models," Tinbergen Institute Discussion Papers 08-028/4, Tinbergen Institute.
28. Andrew V. Carter & Douglas G. Steigerwald, 2012. "Testing for Regime Switching: A Comment," Econometrica, Econometric Society, vol. 80(4), pages 1809-1812, July.
    • Carter, Andrew V & Steigerwald, Douglas G, 2010. "Testing for Regime Switching: A Comment," University of California at Santa Barbara, Economics Working Paper Series qt5079q9dc, Department of Economics, UC Santa Barbara.
29. Siem Jan Koopman & João Valle E Azevedo, 2008. "Measuring Synchronization and Convergence of Business Cycles for the Euro area, UK and US," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 23-51, February.
30. Siem Jan Koopman & Rutger Lit & André Lucas, 2017. "Intraday Stochastic Volatility in Discrete Price Changes: The Dynamic Skellam Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1490-1503, October.
    • Siem Jan Koopman & Rutger Lit & Andre Lucas, 2015. "Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model," Tinbergen Institute Discussion Papers 15-076/IV/DSF94, Tinbergen Institute.
31. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Information Theoretic Optimality of Observation Driven Time Series Models," Tinbergen Institute Discussion Papers 14-046/III, Tinbergen Institute.
32. Riccardo Borghi & Eric Hillebrand & Jakob Mikkelsen & Giovanni Urga, 2018. "The dynamics of factor loadings in the cross-section of returns," CREATES Research Papers 2018-38, Department of Economics and Business Economics, Aarhus University.
33. Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022. "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    • Luigi Longo & Massimo Riccaboni & Armando Rungi, 2021. "A Neural Network Ensemble Approach for GDP Forecasting," Working Papers 02/2021, IMT School for Advanced Studies Lucca, revised Mar 2021.
34. Godolphin, E.J. & Triantafyllopoulos, Kostas, 2006. "Decomposition of time series models in state-space form," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2232-2246, May.
35. Füss, Roland & Zietz, Joachim, 2016. "The economic drivers of differences in house price inflation rates across MSAs," Journal of Housing Economics, Elsevier, vol. 31(C), pages 35-53.
    • Fuess, Roland & Zietz, Joachim, 2015. "The Economic Drivers of Differences in House Price Inflation Rates across MSAs," Working Papers on Finance 1526, University of St. Gallen, School of Finance.
36. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
37. Zietz, Joachim & Traian, Anca, 2014. "When was the U.S. housing downturn predictable? A comparison of univariate forecasting methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 271-281.
38. José Luis Cendejas & Félix-Fernando Muñoz & Nadia Fernández-de-Pinedo, 2017. "A contribution to the analysis of historical economic fluctuations (1870–2010): filtering, spurious cycles, and unobserved component modeling," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 93-125, January.
    • Cendejas Bueno, José Luis & Muñoz, Félix & Fernández-de-Pinedo, Nadia, 2015. "A contribution to the analysis of historical economic fluctuations (1870-2010): filtering, spurious cycles and unobserved component modelling," Working Papers in Economic Theory 2015/04, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
39. Vendrame, Vasco & Guermat, Cherif & Tucker, Jon, 2018. "A conditional regime switching CAPM," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 1-11.
40. Kum Hwa Oh & Eric Zivot & Drew Creal, 2006. "The Relationship between the Beveridge-Nelson Decomposition andUnobserved Component Models with Correlated Shocks," Working Papers UWEC-2006-16-FC, University of Washington, Department of Economics.
41. Kai Liu, 2014. "Public Finances, Business Cycles and Structural Fiscal Balances," Cambridge Working Papers in Economics 1411, Faculty of Economics, University of Cambridge.
42. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    • Warne, Anders & Coenen, Günter & Christoffel, Kai, 2014. "Marginalized predictive likelihood comparisons of linear Gaussian state-space models with applications to DSGE, DSGEVAR, and VAR models," CFS Working Paper Series 478, Center for Financial Studies (CFS).
43. Robert A. Hill & Paulo M. M. Rodrigues, 2022. "Forgetting approaches to improve forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1356-1371, November.
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44. Max Bruche, 2006. "Estimating Structural Models of Corporate Bond Prices," Working Papers wp2006_0610, CEMFI.
45. Michele Modugno & Lucrezia Reichlin & Domenico Giannone & Marta Banbura, 2012. "Nowcasting with Daily Data," 2012 Meeting Papers 555, Society for Economic Dynamics.
46. François R. Velde, 2009. "Chronicle of a Deflation Unforetold," Journal of Political Economy, University of Chicago Press, vol. 117(4), pages 591-634, August.
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47. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
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48. Gianfreda, Angelica & Maranzano, Paolo & Parisio, Lucia & Pelagatti, Matteo, 2023. "Testing for integration and cointegration when time series are observed with noise," Economic Modelling, Elsevier, vol. 125(C).
49. Iiboshi, Hirokuni & Nishiyama, Shin-Ichi & Watanabe, Toshiaki, 2006. "An Estimated Dynamic Stochastic General Equilibrium Model of the Japanese Economy: A Bayesian Analysis," MPRA Paper 85702, University Library of Munich, Germany.
50. Sebastian Rondeau, 2012. "Sources of Fluctuations in Emerging Markets: Structural Estimation with Mixed Frequency Data," 2012 Meeting Papers 1156, Society for Economic Dynamics.
51. Adolfo Maza, 2006. "Migrations and Regional Convergence: The Case of Spain," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 26(2), pages 191-202, October.
52. repec:jss:jstsof:41:i02 is not listed on IDEAS
53. Ángelo Gutiérrez-Daza, 2024. "Business Cycles when Consumers Learn by Shopping," Working Papers 2024-12, Banco de México.
54. Pedregal, Diego J. & Carmen Carnero, Ma, 2006. "State space models for condition monitoring: a case study," Reliability Engineering and System Safety, Elsevier, vol. 91(2), pages 171-180.
55. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
56. Alessandra Luati & Tommaso Proietti, 2010. "Hyper‐spherical and elliptical stochastic cycles," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(3), pages 169-181, May.
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57. Sudhanshu Kumar & Naveen Srinivasan & Muthiah Ramachandran, 2012. "A time‐varying parameter model of inflation in India," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 25-50, April.
58. Bianchi, Francesco & Bianchi, Giada & Song, Dongho, 2023. "The long-term impact of the COVID-19 unemployment shock on life expectancy and mortality rates," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
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59. Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2023. "Uncertainty in firm valuation and a cross-sectional misvaluation measure," Annals of Finance, Springer, vol. 19(1), pages 63-93, March.
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60. repec:zbw:bofitp:2019_008 is not listed on IDEAS
61. Dimitrije Marković & Jan Gläscher & Peter Bossaerts & John O’Doherty & Stefan J Kiebel, 2015. "Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-34, October.
62. H. Visser & A. Petersen, 2009. "The likelihood of holding outdoor skating marathons in the Netherlands as a policy-relevant indicator of climate change," Climatic Change, Springer, vol. 93(1), pages 39-54, March.
63. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," NBER Working Papers 28853, National Bureau of Economic Research, Inc.
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64. Franco Peracchi & Claudio Rossetti, 2022. "A nonlinear dynamic factor model of health and medical treatment," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1046-1066, June.
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65. Yue Zhao & Difang Wan, 2018. "Institutional high frequency trading and price discovery: Evidence from an emerging commodity futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(2), pages 243-270, February.
66. Chang, Yu Sang, 2014. "Comparative analysis of long-term road fatality targets for individual states in the US—An application of experience curve models," Transport Policy, Elsevier, vol. 36(C), pages 53-69.
67. Bańbura, 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.
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68. Christian Bayer & Benjamin Born & Ralph Luetticke, 2024. "Shocks, Frictions, and Inequality in US Business Cycles," American Economic Review, American Economic Association, vol. 114(5), pages 1211-1247, May.
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69. Creal, Drew D. & Wu, Jing Cynthia, 2015. "Estimation of affine term structure models with spanned or unspanned stochastic volatility," Journal of Econometrics, Elsevier, vol. 185(1), pages 60-81.
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70. Borus Jungbacker & Siem Jan Koopman & Michel Wel, 2014. "Smooth Dynamic Factor Analysis With Application To The Us Term Structure Of Interest Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 65-90, January.
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71. S. J. Koopman & G. Mesters, 2017. "Empirical Bayes Methods for Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 486-498, July.
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73. Bernd Schwaab & Siem Jan Koopman & André Lucas, 2017. "Global Credit Risk: World, Country and Industry Factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 296-317, March.
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82. Tobias Hartl & Rolf Tschernig & Enzo Weber, 2020. "Fractional trends and cycles in macroeconomic time series," Papers 2005.05266, arXiv.org, revised May 2020.
83. Blasques, F. & van Brummelen, J. & Gorgi, P. & Koopman, S.J., 2024. "A robust Beveridge–Nelson decomposition using a score-driven approach with an application," Economics Letters, Elsevier, vol. 236(C).
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85. D.S. Prasada Rao & Alicia Rambaldi & Howard Doran, 2008. "A Method to Construct World Tables of Purchasing Power Parities and Real Incomes Based on Multiple Benchmarks and Auxiliary Information: Analytical and Empirical Results," CEPA Working Papers Series WP052008, School of Economics, University of Queensland, Australia.
86. Paul Labonne & Martin Weale, 2020. "Temporal disaggregation of overlapping noisy quarterly data: estimation of monthly output from UK value‐added tax data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1211-1230, June.
87. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.
88. Andrés Gonzalez & Franz Hamann, 2011. "Lack of Credibility, Inflation Persistence and Disinflation in Colombia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, May.
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     • 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.
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     • 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.).
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     • 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.
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     • Saul Lach & Mark Schankerman, 2003. "Incentives and invention in universities," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
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     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
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     • Nick Bloom & Mark Schankerman & John Van Reenen, 2005. "Identifying technology spillovers and product market rivalry," Proceedings, Federal Reserve Bank of San Francisco.
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     • 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.
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         • Mikkel Bennedsen & Eric Hillebrand & Siem Jan Koopman, 2019. "Modeling, Forecasting, and Nowcasting U.S. CO2 Emissions Using Many Macroeconomic Predictors," CREATES Research Papers 2019-21, Department of Economics and Business Economics, Aarhus University.
       • Daniel M. Smith & Theodore A. Walls, 2021. "Pursuing Collective Synchrony in Teams: A Regime-Switching Dynamic Factor Model of Speed Similarity in Soccer," Psychometrika, Springer;The Psychometric Society, vol. 86(4), pages 1016-1038, December.
       • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "A Model of the Fed's View on Inflation," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 686-704, October.
         • Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017. "A Model of the Fed’s View on Inflation," Economic Research Papers 269087, University of Warwick - Department of Economics.
         • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2020. "A Model of the Fed's View on Inflation," Papers 2006.14110, arXiv.org.
         • Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of FED'S view on inflation," Documents de Travail de l'OFCE 2018-03, Observatoire Francais des Conjonctures Economiques (OFCE).
         • Thomas Hasenzagl & Fillipo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2018. "A model of the FED's view on inflation," Working Papers hal-03458456, HAL.
         • Hasenzagl, Thomas & Pellegrino, Filippo & Reichlin, Lucrezia & Ricco, Giovanni, 2017. "A Model of the Fed’s View on Inflation," The Warwick Economics Research Paper Series (TWERPS) 1145, University of Warwick, Department of Economics.
         • Reichlin, Lucrezia & Hasenzagl, Thomas & Pellegrino, Filippo & Ricco, Giovanni, 2018. "A Model of the Fed's View on Inflation," CEPR Discussion Papers 12564, C.E.P.R. Discussion Papers.
       • Nonejad, Nima, 2023. "Modeling the out-of-sample predictive relationship between equity premium, returns on the price of crude oil and economic policy uncertainty using multivariate time-varying dimension models," Energy Economics, Elsevier, vol. 126(C).
       • Juan Bógalo & Pilar Poncela & Eva Senra, 2021. "Circulant Singular Spectrum Analysis to Monitor the State of the Economy in Real Time," Mathematics, MDPI, vol. 9(11), pages 1-17, May.
       • Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
         • Petrella, Ivan & Delle Monache, Davide, 2016. "Adaptive models and heavy tails," Bank of England working papers 577, Bank of England.
         • Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
         • Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails," Temi di discussione (Economic working papers) 1052, Bank of Italy, Economic Research and International Relations Area.
       • James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
       • 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.
       • Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
       • Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2022. "Nowcasting with large Bayesian vector autoregressions," Journal of Econometrics, Elsevier, vol. 231(2), pages 500-519.
         • Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2020. "Nowcasting with large Bayesian vector autoregressions," Working Paper Series 2453, European Central Bank.
         • Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
       • S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-Time Macroeconomic Monitoring: Real Activity, Inflation, and Interactions," American Economic Review, American Economic Association, vol. 100(2), pages 20-24, May.
         • S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-Time Macroeconomic Monitoring: Real Activity, Inflation, and Interactions," PIER Working Paper Archive 10-002, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
         • S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-time macroeconomic monitoring: real activity, inflation, and interactions," Working Papers 10-5, Federal Reserve Bank of Philadelphia.
         • S. Boragan Aruoba & Francis X. Diebold, 2010. "Real-Time Macroeconomic Monitoring: Real Activity, Inflation, and Interactions," NBER Working Papers 15657, National Bureau of Economic Research, Inc.
       • repec:jss:jstsof:41:i04 is not listed on IDEAS
       • Massimiliano Caporin & Luca Corazzini & Michele Costola, 2014. "Measuring the Behavioral Component of Financial Fluctuations: An Analysis Based on the S&P 500," CREATES Research Papers 2014-33, Department of Economics and Business Economics, Aarhus University.
       • Ellul, Reuben, 2016. "A real-time measure of business conditions in Malta," MPRA Paper 75057, University Library of Munich, Germany.
         • Rueben Ellul, 2016. "A real-time measure of business conditions in Malta," CBM Working Papers WP/04/2016, Central Bank of Malta.
       • 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.
       • Jacobs, Jan P.A.M. & van Norden, Simon, 2011. "Modeling data revisions: Measurement error and dynamics of "true" values," Journal of Econometrics, Elsevier, vol. 161(2), pages 101-109, April.
       • Correia, Ricardo & Dubiel-Teleszynski, Tomasz & Población, Javier, 2019. "Anticipating individual bank rescues," Economic Modelling, Elsevier, vol. 82(C), pages 345-360.
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       • Stéphane Guerrier & Jan Skaloud & Yannick Stebler & Maria-Pia Victoria-Feser, 2013. "Wavelet-Variance-Based Estimation for Composite Stochastic Processes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1021-1030, September.
       • Irma Hindrayanto & John A.D. Aston & Siem Jan Koopman & Marius Ooms, 2013. "Modelling trigonometric seasonal components for monthly economic time series," Applied Economics, Taylor & Francis Journals, vol. 45(21), pages 3024-3034, July.
         • Irma Hindrayanto & John A.D. Aston & Siem Jan Koopman & Marius Ooms, 2010. "Modeling Trigonometric Seasonal Components for Monthly Economic Time Series," Tinbergen Institute Discussion Papers 10-018/4, Tinbergen Institute.
       • De la Serve, M-E. & Lemoine, M., 2011. "Measuring the NAIRU: a complementary approach," Working papers 342, Banque de France.
       • Eric Heyer & Frédéric Reynès & Henri Sterdyniak, 2004. "Observable and unobservable variables in the theory of the equilibrium rate of unemployment, a comparison between France and the United States," Working Papers hal-01027420, HAL.
         • Eric Heyer & Frederic Reynes & Henri Sterdyniak, 2004. "Observable and unobservable variables in the theory of the equilibrium rate of unemployment, a comparison between France and the United States," Documents de Travail de l'OFCE 2004-06, Observatoire Francais des Conjonctures Economiques (OFCE).
         • Eric Heyer & Frédéric Reynès & Henri Sterdyniak, 2004. "Observable and unobservable variables in the theory of the equilibrium rate of unemployment, a comparison between France and the United States," SciencePo Working papers Main hal-01027420, HAL.
       • Lingohr, Daniel & Müller, Gernot, 2021. "Conditionally independent increment processes for modeling electricity prices with regard to renewable power generation," Energy Economics, Elsevier, vol. 103(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.
       • Daisuke Nagakura & Toshiaki Watanabe, 2009. "A State Space Approach to Estimating the Integrated Variance and Microstructure Noise Component," IMES Discussion Paper Series 09-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
         • Daisuke Nagakura & Toshiaki Watanabe, 2009. "A State Space Approach to Estimating the Integrated Variance and Microstructure Noise Component," Global COE Hi-Stat Discussion Paper Series gd09-055, Institute of Economic Research, Hitotsubashi University.
       • Abberger, Klaus, 2007. "Qualitative business surveys and the assessment of employment -- A case study for Germany," International Journal of Forecasting, Elsevier, vol. 23(2), pages 249-258.
         • Klaus Abberger, 2005. "Qualitative Business Surveys and the Assessment of Employment A Case Study for Germany," ifo Working Paper Series 11, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
       • 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.
       • Alexopoulos, Thomas A., 2017. "The growing importance of natural gas as a predictor for retail electricity prices in US," Energy, Elsevier, vol. 137(C), pages 219-233.
       • Donald Percival & Donald Denbo & Marie Eblé & Edison Gica & Harold Mofjeld & Michael Spillane & Liujuan Tang & Vasily Titov, 2011. "Extraction of tsunami source coefficients via inversion of DART $$^{\circledR}$$ buoy data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 567-590, July.
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       • Baptista, Marcia & Henriques, Elsa M.P. & de Medeiros, Ivo P. & Malere, Joao P. & Nascimento, Cairo L. & Prendinger, Helmut, 2019. "Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering," Reliability Engineering and System Safety, Elsevier, vol. 184(C), pages 228-239.
       • Lecarpentier-Moyal, Sylvie & Renou-Maissant, Patricia, 2007. "Analyse dynamique de la convergence des comportements de demande de monnaie en Europe," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(3), pages 321-357, septembre.
       • Yaoping Cui & Xinliang Xu & Jinwei Dong & Yaochen Qin, 2016. "Influence of Urbanization Factors on Surface Urban Heat Island Intensity: A Comparison of Countries at Different Developmental Phases," Sustainability, MDPI, vol. 8(8), pages 1-14, July.
       • Monfort, Alain & Renne, Jean-Paul & Roussellet, Guillaume, 2015. "A Quadratic Kalman Filter," Journal of Econometrics, Elsevier, vol. 187(1), pages 43-56.
         • Monfort, A. & Renne, J.-P. & Roussellet, G., 2014. "A Quadratic Kalman Filter," Working papers 486, Banque de France.
       • Siem Jan Koopman & Rutger Lit & Thuy Minh Nguyen, 2012. "Fast Efficient Importance Sampling by State Space Methods," Tinbergen Institute Discussion Papers 12-008/4, Tinbergen Institute, revised 16 Oct 2014.
       • Wanger, Susanne & Weigand, Roland & Zapf, Ines, 2014. "Revision der IAB-Arbeitszeitrechnung 2014 : Grundlagen, methodische Weiterentwicklungen sowie ausgewählte Ergebnisse im Rahmen der Revision der Volkswirtschaftlichen Gesamtrechnungen," IAB-Forschungsbericht 201409, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
       • Funke, Michael & Tsang, Andrew, 2020. "The People’s bank of China’s response to the coronavirus pandemic: A quantitative assessment," Economic Modelling, Elsevier, vol. 93(C), pages 465-473.
         • Funke, Michael & Tsang, Andrew, 2020. "The People's Bank of China's response to the coronavirus pandemic: A quantitative assessment," BOFIT Discussion Papers 12/2020, Bank of Finland Institute for Emerging Economies (BOFIT).
         • Funke, Michael & Tsang, Andrew, 2020. "The People's Bank of China's response to the coronavirus pandemic - A quantitative assessment," BOFIT Discussion Papers 12/2020, Bank of Finland, Institute for Economies in Transition.
       • 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.
       • Mario Figueiredo & Yuri F. Saporito, 2023. "Forecasting the term structure of commodities future prices using machine learning," Digital Finance, Springer, vol. 5(1), pages 57-90, March.
       • Schumacher, Christian, 2014. "MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100289, Verein für Socialpolitik / German Economic Association.
       • Eric Benhamou, 2018. "Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets," Papers 1811.11618, arXiv.org, revised Dec 2018.
         • Eric Benhamou, 2019. "Kalman filter demystified: from intuition to probabilistic graphical model to real case in financial markets," Working Papers hal-02012471, HAL.
       • Dahl, Christian M. & Hansen, Henrik & Smidt, John, 2009. "The cyclical component factor model," International Journal of Forecasting, Elsevier, vol. 25(1), pages 119-127.
         • Christian M. Dahl & Henrik Hansen & John Smidt, 2008. "The cyclical component factor model," CREATES Research Papers 2008-44, Department of Economics and Business Economics, Aarhus University.
       • Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
       • Omar H. M. N. Bashar, 2015. "The Trickle‐down Effect of the Mining Boom in Australia: Fact or Myth?," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 94-108, June.
       • 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.
       • Martin Bohl & Philipp Kaufmann & Patrick Stephan, 2012. "From Hero to Zero: Evidence of Performance Reversal and Speculative Bubbles in German Renewable Energy Stocks," CQE Working Papers 2412, Center for Quantitative Economics (CQE), University of Muenster.
       • Mauro Bernardi & Ghislaine Gayraud & Lea Petrella, 2013. "Bayesian inference for CoVaR," Papers 1306.2834, arXiv.org, revised Nov 2013.
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       • K. Triantafyllopoulos, 2007. "Covariance estimation for multivariate conditionally Gaussian dynamic linear models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 551-569.
       • Funke, Michael & Tsang, Andrew, 2019. "The direction and intensity of China's monetary policy conduct: A dynamic factor modelling approach," BOFIT Discussion Papers 8/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
       • Andreasen, Martin M. & Christensen, Bent Jesper, 2015. "The SR approach: A new estimation procedure for non-linear and non-Gaussian dynamic term structure models," Journal of Econometrics, Elsevier, vol. 184(2), pages 420-451.
       • 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.
       • Dewenter, Ralf & Heimeshoff, Ulrich, 2016. "Predicting advertising volumes: A structural time series approach," DICE Discussion Papers 228, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
       • Jarociński, Marek, 2015. "A note on implementing the Durbin and Koopman simulation smoother," Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 1-3.
         • Jarocinski, Marek, 2014. "A note on implementing the Durbin and Koopman simulation smoother," MPRA Paper 59466, University Library of Munich, Germany.
         • Jarociński, Marek, 2015. "A note on implementing the Durbin and Koopman simulation smoother," Working Paper Series 1867, European Central Bank.
       • Samuel Standaert & Glenn Rayp, 2015. "Trade Integration And Trade Agreements:Resolving The Endogeneity Problem Through A Qualitative Var," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/912, Ghent University, Faculty of Economics and Business Administration.
       • Martín Rodríguez, G. & Cáceres Hernández, J. J. & Guirao Pérez, G, 2005. "Un modelo para la exportación semanal de tomate de Almería/A model for the Weekly Tomato Exports from Almería," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 23, pages 731-751, Diciembre.
       • Alastair Cunningham & Chris Jeffery & George Kapetanios & Vincent Labhard, 2007. "A State Space Approach To The Policymaker's Data Uncertainty Problem," Money Macro and Finance (MMF) Research Group Conference 2006 168, Money Macro and Finance Research Group.
       • G. K. Robinson, 2010. "Continuous time Brownian motion models for analysis of sequential data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(3), pages 477-494, May.
       • Juho Koistinen & Bernd Funovits, 2022. "Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization," Papers 2202.00310, arXiv.org, revised Feb 2022.
       • Rodríguez, Alejandro & Ruiz, Esther, 2012. "Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 62-74, January.
         • Rodríguez, Alejandro, 2010. "Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters," DES - Working Papers. Statistics and Econometrics. WS ws100301, Universidad Carlos III de Madrid. Departamento de Estadística.
       • 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.
       • Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
       • Laurent Callot & Johannes Tang Kristensen, 2014. "Vector Autoregressions with Parsimoniously Time Varying Parameters and an Application to Monetary Policy," CREATES Research Papers 2014-41, Department of Economics and Business Economics, Aarhus University.
         • Laurent Callot & Johannes Tang Kristensen, 2014. "Vector Autoregressions with parsimoniously Time Varying Parameters and an Application to Monetary Policy," Tinbergen Institute Discussion Papers 14-145/III, Tinbergen Institute, revised 09 Apr 2015.
       • Javier G. Gómez-Pineda & Julián Roa-Rozo, 2023. "A trend-cycle decomposition with hysteresis," Borradores de Economia 1230, Banco de la Republica de Colombia.
       • Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
         • Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
       • Breckenfelder, Johannes & Schwaab, Bernd, 2018. "Bank to sovereign risk spillovers across borders: Evidence from the ECB’s Comprehensive Assessment," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 247-262.
         • Breckenfelder, Johannes & Schwaab, Bernd, 2018. "Bank to sovereign risk spillovers across borders: evidence from the ECB’s Comprehensive Assessment," Working Paper Series 2193, European Central Bank.
       • 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.
       • Falk Bräuning & Siem Jan Koopman, 2016. "The Dynamic Factor Network Model with an Application to Global Credit-Risk," Tinbergen Institute Discussion Papers 16-105/III, Tinbergen Institute.
         • Falk Bräuning & Siem Jan Koopman, 2016. "The dynamic factor network model with an application to global credit risk," Working Papers 16-13, Federal Reserve Bank of Boston.
       • Vladimir Kuzin & Silke Tober, 2004. "Asymmetric Monetary Policy Effects in Germany," Discussion Papers of DIW Berlin 397, DIW Berlin, German Institute for Economic Research.
       • Bin Zhu & David B. Dunson, 2013. "Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1445-1456, December.
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       • Harvey, Andew & Liao, Yin, 2023. "Dynamic Tobit models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 72-83.
       • Lorenzo Pozzi, 2007. "Idiosyncratic Labour Income Risk and Aggregate Consumption: an Unobserved Component Approach," Tinbergen Institute Discussion Papers 07-069/2, Tinbergen Institute.
       • Blasques, Francisco & van Brummelen, Janneke & Gorgi, Paolo & Koopman, Siem Jan, 2024. "Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions," Journal of Econometrics, Elsevier, vol. 238(1).
       • Jennie Bai & Eric Ghysels & Jonathan H. Wright, 2013. "State Space Models and MIDAS Regressions," Econometric Reviews, Taylor & Francis Journals, vol. 32(7), pages 779-813, October.
       • Siem Jan Koopman & Max I.P. Mallee & Michel van der Wel, 2007. "Analyzing the Term Structure of Interest Rates using the Dynamic Nelson-Siegel Model with Time-Varying Parameters," Tinbergen Institute Discussion Papers 07-095/4, Tinbergen Institute.
       • De Rossi, Giuliano & Harvey, Andrew, 2009. "Quantiles, expectiles and splines," Journal of Econometrics, Elsevier, vol. 152(2), pages 179-185, October.
         • DeRossi, G. & Harvey, A., 2007. "Quantiles, Expectiles and Splines," Cambridge Working Papers in Economics 0702, Faculty of Economics, University of Cambridge.
         • DeRossi, G. & Harvey, A., 2007. "Quantiles, Expectiles and Splines," Cambridge Working Papers in Economics 0660, Faculty of Economics, University of Cambridge.
       • Pizzinga, Adrian, 2009. "Further investigation into restricted Kalman filtering," Statistics & Probability Letters, Elsevier, vol. 79(2), pages 264-269, January.
       • Kihwan Kim & Hyun Hak Kim & Norman R. Swanson, 2023. "Mixing mixed frequency and diffusion indices in good times and in bad: an assessment based on historical data around the great recession of 2008," Empirical Economics, Springer, vol. 64(3), pages 1421-1469, March.
       • Siem Jan Koopman & André Lucas & Bernd Schwaab, 2012. "Dynamic Factor Models With Macro, Frailty, and Industry Effects for U.S. Default Counts: The Credit Crisis of 2008," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 521-532, May.
         • Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2012. "Dynamic factor models with macro, frailty and industry effects for US default counts: the credit crisis of 2008," Working Paper Series 1459, European Central Bank.
       • Pelagatti, Matteo & Maranzano, Paolo, 2021. "Assessing the effectiveness of the Italian risk-zones policy during the second wave of COVID-19," Health Policy, Elsevier, vol. 125(9), pages 1188-1199.
         • Matteo Pelagatti, 2020. "Assessing the effectiveness of the Italian risk-zones policy during the second wave of Covid-19," Working Papers 457, University of Milano-Bicocca, Department of Economics, revised Dec 2020.
       • Andre Lucas & Bastiaan Verhoef, 2012. "Aggregating Credit and Market Risk: The Impact of Model Specification," Tinbergen Institute Discussion Papers 12-057/2/DSF36, Tinbergen Institute.
       • 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.
       • Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
       • Laurens Swinkels & Pieter Van Der Sluis, 2006. "Return-based style analysis with time-varying exposures," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 529-552.
         • Laurens Swinkels, Pieter Jelle VanDerSluis, 2001. "Return-based Style Analysis with Time-varying Exposures," Computing in Economics and Finance 2001 125, Society for Computational Economics.
         • Swinkels, L.A.P. & van der Sluis, P.J., 2001. "Return-Based Style Analysis with Time-Varying Exposures," Other publications TiSEM f2c16530-4d18-4f43-bb6d-f, Tilburg University, School of Economics and Management.
         • Swinkels, L.A.P. & van der Sluis, P.J., 2001. "Return-Based Style Analysis with Time-Varying Exposures," Discussion Paper 2001-96, Tilburg University, Center for Economic Research.
       • Busettti, F. & Harvey, A., 2007. "Tests of time-invariance," Cambridge Working Papers in Economics 0701, Faculty of Economics, University of Cambridge.
         • Busettti, F. & Harvey, A., 2007. "Tests of time-invariance," Cambridge Working Papers in Economics 0657, Faculty of Economics, University of Cambridge.
       • Cabral, Celso Rômulo Barbosa & da-Silva, Cibele Queiroz & Migon, Helio S., 2014. "A dynamic linear model with extended skew-normal for the initial distribution of the state parameter," Computational Statistics & Data Analysis, Elsevier, vol. 74(C), pages 64-80.
       • Yu, Wei-Choun & Zivot, Eric, 2011. "Forecasting the term structures of Treasury and corporate yields using dynamic Nelson-Siegel models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 579-591.
         • Yu, Wei-Choun & Zivot, Eric, 2011. "Forecasting the term structures of Treasury and corporate yields using dynamic Nelson-Siegel models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 579-591, April.
       • Aruoba, S. Borağan & Diebold, Francis X. & Nalewaik, Jeremy & Schorfheide, Frank & Song, Dongho, 2016. "Improving GDP measurement: A measurement-error perspective," Journal of Econometrics, Elsevier, vol. 191(2), pages 384-397.
         • Boragan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP Measurement: A Measurement-Error Perspective," PIER Working Paper Archive 13-016, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
         • S. Boragan Aruoba & Francis X. Diebold & Jeremy J. Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP measurement: a measurement-error perspective," Working Papers 13-16, Federal Reserve Bank of Philadelphia.
         • S. Boraǧan Aruoba & Francis X. Diebold & Jeremy Nalewaik & Frank Schorfheide & Dongho Song, 2013. "Improving GDP Measurement: A Measurement-Error Perspective," NBER Working Papers 18954, National Bureau of Economic Research, Inc.
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       • Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2017. "Accelerating GARCH and Score-Driven Models: Optimality, Estimation and Forecasting," Tinbergen Institute Discussion Papers 17-059/III, Tinbergen Institute.
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       • Etienne Vaccaro-Grange, 2019. "Quantitative Easing and the Term Premium as a Monetary Policy Instrument," AMSE Working Papers 1932, Aix-Marseille School of Economics, France.
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         • Francisco Blasques & Siem Jan Koopman & Katarzyna Lasak & André Lucas, 2015. "In-Sample Confidence Bands and Out-of-Sample Forecast Bands for Time-Varying Parameters in Observation Driven Models," Tinbergen Institute Discussion Papers 15-083/III, Tinbergen Institute.
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       • Koopman, Siem Jan & Kräussl, Roman & Lucas, André & Monteiro, André B., 2009. "Credit cycles and macro fundamentals," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 42-54, January.
         • Koopman, Siem Jan & Kräussl, Roman & Lucas, André, 2006. "Credit cycles and macro fundamentals," CFS Working Paper Series 2006/33, Center for Financial Studies (CFS).
         • Siem Jan Koopman & Roman Kraeussl & Andre Lucas & Andre Monteiro, 2006. "Credit Cycles and Macro Fundamentals," Tinbergen Institute Discussion Papers 06-023/2, Tinbergen Institute.
       • Bashar, Omar H. M. N. & Bashar, Omar K. M. R., 2020. "Resource abundance, financial crisis and economic growth: did resource-rich countries fare better during the global financial crisis?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
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         • 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.
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         • Tomiyuki Kitamura & Masaki Tanaka, 2019. "Firms' Inflation Expectations under Rational Inattention and Sticky Information: An Analysis with a Small-Scale Macroeconomic Model," Bank of Japan Working Paper Series 19-E-16, Bank of Japan.
         • Soeren Johansen, 2018. "Cointegration and adjustment in the infinite order CVAR representation of some partially observed CVAR(1) models," Discussion Papers 18-05, University of Copenhagen. Department of Economics.
         • Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
           • Fabio Canova & Filippo Ferroni, 2021. "A Hitchhiker’s Guide to Empirical Macro Models," Working Paper Series WP-2021-15, Federal Reserve Bank of Chicago, revised 03 Oct 2021.
         • Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
         • Siem Jan Koopman & Marius Ooms & André Lucas & Kees van Montfort & Victor Van Der Geest, 2008. "Estimating systematic continuous‐time trends in recidivism using a non‐Gaussian panel data model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(1), pages 104-130, February.
           • Siem Jan Koopman & André Lucas & Marius Ooms & Kees van Montfort & Victor van der Geest, 2007. "Estimating Systematic Continuous-time Trends in Recidivism using a Non-Gaussian Panel Data Model," Tinbergen Institute Discussion Papers 07-027/4, Tinbergen Institute.
         • Cammarota, Camillo & Rogora, Enrico, 2005. "Independence and symbolic independence of nonstationary heartbeat series during atrial fibrillation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 323-335.
         • Chau, Thi Tuyet Trang & Ailliot, Pierre & Monbet, Valérie, 2021. "An algorithm for non-parametric estimation in state–space models," Computational Statistics & Data Analysis, Elsevier, vol. 153(C).
         • Juan Manuel Julio Román, 2011. "Modeling Data Revisions," Borradores de Economia 7929, Banco de la Republica.
           • Juan Manuel Julio, 2011. "Modeling Data Revisions," Borradores de Economia 641, Banco de la Republica de Colombia.
         • Schulz, Rainer, 2002. "Real estate valuation according to standardized methods: An empirical analysis," SFB 373 Discussion Papers 2002,55, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
         • Tatsuma Wada & Pierre Perron, 2005. "Trend and Cycles: A New Approach and Explanations of Some Old Puzzles," Computing in Economics and Finance 2005 252, Society for Computational Economics.
         • Charles S. Bos & Phillip Gould, 2007. "Dynamic Correlations and Optimal Hedge Ratios," Tinbergen Institute Discussion Papers 07-025/4, Tinbergen Institute.
         • Castillo-Manzano, José I. & Pedregal, Diego J. & Pozo-Barajas, Rafael, 2016. "An econometric evaluation of the management of large-scale transport infrastructure in Spain during the great recession: Lessons for infrastructure bubbles," Economic Modelling, Elsevier, vol. 53(C), pages 302-313.
         • Theodosiou, Marina, 2011. "Forecasting monthly and quarterly time series using STL decomposition," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1178-1195, October.
         • Le, Thai Hong & Luong, Anh Tram, 2022. "Dynamic spillovers between oil price, stock market, and investor sentiment: Evidence from the United States and Vietnam," Resources Policy, Elsevier, vol. 78(C).
         • Abad, Nicolas & Lloyd-Braga, Teresa & Modesto, Leonor, 2020. "The failure of stabilization policy: Balanced-budget fiscal rules in the presence of incompressible public expenditures," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
           • Nicolas Abad & Teresa Lloyd-Braga & Leonor Modesto, 2019. "The failure of stabilization policy: balanced-budget fiscal rules in the presence of incompressible public expenditures," Working Papers hal-02331811, HAL.
         • Mikkel Bennedsen & Eric Hillebrand & Siem Jan Koopman, 2020. "A statistical model of the global carbon budget," CREATES Research Papers 2020-18, Department of Economics and Business Economics, Aarhus University.
         • George B. Tawadros, 2009. "Testing the impact of inflation targeting on inflation," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 36(4), pages 326-342, September.
         • Rostami-Tabar, Bahman & Ziel, Florian, 2022. "Anticipating special events in Emergency Department forecasting," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1197-1213.
         • McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
           • Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
         • Tommaso Proietti & Filippo Moauro, 2006. "Dynamic factor analysis with non‐linear temporal aggregation constraints," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(2), pages 281-300, April.
           • Tommaso Proietti & Filippo Moauro, 2004. "Dynamic Factor Analysis with Nonlinear Temporal Aggregation Constraints," Econometrics 0401003, University Library of Munich, Germany.
         • Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," Papers 2305.06618, arXiv.org.
           • Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
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         • Gianluca, MORETTI & Giulio, NICOLETTI, 2008. "Estimating DGSE models with long memory dynamics," Discussion Papers (ECON - Département des Sciences Economiques) 2008037, Université catholique de Louvain, Département des Sciences Economiques.
         • 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.
         • Joyce, Michael & Kaminska, Iryna & Lildholdt, Peter, 2008. "Understanding the real rate conundrum: an application of no-arbitrage finance models to the UK real yield curve," Bank of England working papers 358, Bank of England.
         • Richard G. Anderson & Charles S. Gascon, 2009. "Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 349-370.
         • Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
         • T. Berger, 2008. "Estimating Europe’s Natural Rates from a forward-looking Phillips curve," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/498, Ghent University, Faculty of Economics and Business Administration.
         • Souza, M.A.O. & Migon, H.S. & Pereira, J.B.M., 2018. "Extended dynamic generalized linear models: The two-parameter exponential family," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 164-179.
         • Gianluca Moretti & Giulio Nicoletti, 2010. "Estimating DSGE models with unknown data persistence," Temi di discussione (Economic working papers) 750, Bank of Italy, Economic Research and International Relations Area.
         • Brownlees, Christian & Mesters, Geert, 2021. "Detecting granular time series in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 544-561.
           • Christian Brownlees & Geert Mesters, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
         • Gabriele Fiorentini & Enrique Sentana, 2019. "Dynamic specification tests for dynamic factor models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 325-346, April.
           • Gabriele Fiorentini & Enrique Sentana, 2013. "Dynamic Specification Tests for Dynamic Factor Models," Working Papers wp2013_1306, CEMFI.
           • Gabriele Fiorentini & Enrique Sentana, 2019. "Dynamic specification tests for dynamic factor models," Econometrics Working Papers Archive 2018_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
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         • Altug, Sumru & Çakmaklı, Cem & Demircan, Hamza, 2018. "Modeling of Economic and Financial Conditions for Nowcasting and Forecasting Recessions: A Unified Approach," CEPR Discussion Papers 13171, C.E.P.R. Discussion Papers.
           • Cem Cakmakli & Hamza Demircan & Sumru Altug, 2019. "Modeling of Economic and Financial Conditions for Nowcasting and Forecasting Recessions: A Unified Approach," Koç University-TUSIAD Economic Research Forum Working Papers 1907, Koc University-TUSIAD Economic Research Forum.
         • Corradin, Stefano & Grimm, Niklas & Schwaab, Bernd, 2021. "Euro area sovereign bond risk premia during the Covid-19 pandemic," Working Paper Series 2561, European Central Bank.
         • Krist'of N'emeth & D'aniel Hadh'azi, 2023. "GDP nowcasting with artificial neural networks: How much does long-term memory matter?," Papers 2304.05805, arXiv.org, revised Jan 2025.
         • Martin Solberger & Erik Spånberg, 2020. "Estimating a Dynamic Factor Model in EViews Using the Kalman Filter and Smoother," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 875-900, March.
         • Refai, Hisham Al & Zeitun, Rami & Eissa, Mohamed Abdel-Aziz, 2022. "Impact of global health crisis and oil price shocks on stock markets in the GCC," Finance Research Letters, Elsevier, vol. 45(C).
         • Li, Mengheng & Koopman, Siem Jan & Lit, Rutger & Petrova, Desislava, 2020. "Long-term forecasting of El Niño events via dynamic factor simulations," Journal of Econometrics, Elsevier, vol. 214(1), pages 46-66.
         • Adrian, Tobias & Franzoni, Francesco, 2009. "Learning about beta: Time-varying factor loadings, expected returns, and the conditional CAPM," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 537-556, September.
           • Francesco Franzoni & Tobias Adrian, 2005. "Learning about Beta: Time-varying factor loadings, expected returns, and the Conditional CAPM," Working Papers hal-00587579, HAL.
           • Francesco FRANZONI & Tobias ADRIAN, 2008. "Learning about Beta: Time-Varying Factor Loadings, Expected Returns,and the Conditional CAPM," Swiss Finance Institute Research Paper Series 08-36, Swiss Finance Institute.
           • Tobias Adrian & Francesco Franzoni, 2008. "Learning about beta: time-varying factor loadings, expected returns, and the conditional CAPM," Staff Reports 193, Federal Reserve Bank of New York.
           • Franzoni, Francesco & Adrian, Tobias, 2005. "Learning about Beta: time-varying factor loadings, expected returns and the conditional CAPM," HEC Research Papers Series 828, HEC Paris.
         • Klaus Wohlrabe, 2009. "Makroökonomische Prognosen mit gemischten Frequenzen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(21), pages 22-33, November.
         • In Choi, 2023. "Does climate change affect economic data?," Empirical Economics, Springer, vol. 64(6), pages 2939-2956, June.
         • Anoek Castelein & Dennis Fok & Richard Paap, 2019. "Dynamics in clickthrough and conversion probabilities of paid search advertisements," Tinbergen Institute Discussion Papers 19-056/III, Tinbergen Institute.
         • Daniel Buncic, 2020. "Econometric issues with Laubach and Williams' estimates of the natural rate of interest," Papers 2002.11583, arXiv.org, revised Aug 2020.
           • Buncic, Daniel, 2020. "Econometric issues with Laubach and Williams’ estimates of the natural rate of interest," Working Paper Series 397, Sveriges Riksbank (Central Bank of Sweden).
         • Ademmer, Martin & Boysen-Hogrefe, Jens & Carstensen, Kai & Hauber, Philipp & Jannsen, Nils & Kooths, Stefan & Rossian, Thies & Stolzenburg, Ulrich, 2019. "Schätzung von Produktionspotenzial und -lücke: Eine Analyse des EU-Verfahrens und mögliche Verbesserungen," Open Access Publications from Kiel Institute for the World Economy 193965, Kiel Institute for the World Economy (IfW).
         • Frits Bijleveld & Jacques Commandeur & Phillip Gould & Siem Jan Koopman, 2008. "Model‐based measurement of latent risk in time series with applications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 265-277, January.
           • Frits Bijleveld & Jacques Commandeur & Phillip Gould & Siem Jan Koopman, 2005. "Model-based Measurement of Latent Risk in Time Series with Applications," Tinbergen Institute Discussion Papers 05-118/4, Tinbergen Institute.
         • T. Berger & G. Everaert, 2006. "Re-examining the Structural and the Persistence Approach to Unemployment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/383, Ghent University, Faculty of Economics and Business Administration.
         • Johan Dahlin & Mattias Villani & Thomas B. Schon, 2015. "Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods," Papers 1506.06975, arXiv.org, revised Jun 2017.
         • Gijsbert Suren & Guilherme Moura, 2012. "Heteroskedastic Dynamic Factor Models: A Monte Carlo Study," Economics Bulletin, AccessEcon, vol. 32(4), pages 2884-2898.
         • Ademmer, Martin & Boysen-Hogrefe, Jens & Carstensen, Kai & Hauber, Philipp & Jannsen, Nils & Kooths, Stefan & Rossian, Thies & Stolzenburg, Ulrich, 2019. "Schätzung von Produktionspotenzial und -lücke: Eine Analyse des EU-Verfahrens und mögliche Verbesserungen," Kieler Beiträge zur Wirtschaftspolitik 19, Kiel Institute for the World Economy (IfW Kiel).
         • Andrew Lee-Poy, 2018. "Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches," Staff Analytical Notes 2018-34, Bank of Canada.
         • Tucker S. McElroy & Anindya Roy, 2022. "Model identification via total Frobenius norm of multivariate spectra," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 473-495, April.
         • António Rua & João Valle e Azevedo & Siem Jan Koopman, 2003. "Tracking Growth and the Business Cycle: a Stochastic Common Cycle Model for the Euro Area," Working Papers w200316, Banco de Portugal, Economics and Research Department.
           • Joao Valle e Azevedo & Siem Jan Koopman & Antonio Rua, 2003. "Tracking Growth and the Business Cycle: a Stochastic Common Cycle Model for the Euro Area," Tinbergen Institute Discussion Papers 03-069/4, Tinbergen Institute.
         • Trond Husby & Hans Visser, 2021. "Short- to medium-run forecasting of mobility with dynamic linear models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(28), pages 871-902.
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         • Paolo Guarda & Alban Moura, 2019. "Measuring real and financial cycles in Luxembourg: An unobserved components approach," BCL working papers 126, Central Bank of Luxembourg.
         • Heather M. Anderson & Chin Nam Low, 2006. "Random Walk Smooth Transition Autoregressive Models," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 247-281, Emerald Group Publishing Limited.
           • Heather M. Anderson & Chin Nam Low, 2004. "Random Walk Smooth Transition Autoregressive Models," Monash Econometrics and Business Statistics Working Papers 22/04, Monash University, Department of Econometrics and Business Statistics, revised May 2005.
         • 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.
         • Schalk Burger & Searle Silverman & Gary van Vuuren, 2018. "Deriving Correlation Matrices for Missing Financial Time-Series Data," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(10), pages 105-105, October.
         • Orair, Rodrigo Octávio & Silva, Wesley de Jesus, 2013. "Subnational Government Investment in Brazil: Estimation and Analysis by State Space Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 33(1), September.
         • Georges Prat & David Le Bris, 2019. "Equity Risk Premium and Time Horizon: what do the French secular data say ?," EconomiX Working Papers 2019-8, University of Paris Nanterre, EconomiX.
         • Shahidul Islam & Subhadip Ghosh & Mohua Podder, 2022. "Fifty years of agricultural development in Bangladesh: a comparison with India and Pakistan," SN Business & Economics, Springer, vol. 2(7), pages 1-41, July.
         • Corradini, Riccardo, 2018. "A set of state space models at an high disaggregation level to forecast Italian Industrial Production," MPRA Paper 84558, University Library of Munich, Germany, revised 12 Feb 2018.
         • Linton, O. B. & Tang, H. & Wu, J., 2022. "A Structural Dynamic Factor Model for Daily Global Stock Market Returns," Cambridge Working Papers in Economics camjip:2214, Faculty of Economics, University of Cambridge.
         • Jan van den Brakel & Martijn Souren & Sabine Krieg, 2022. "Estimating monthly labour force figures during the COVID‐19 pandemic in the Netherlands," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1560-1583, October.
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           • Stefano Grassi & Paolo Santucci de Magistris, 2013. "It's all about volatility of volatility: evidence from a two-factor stochastic volatility model," Studies in Economics 1404, School of Economics, University of Kent.
           • Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
         • Siem Jan Koopman & André Lucas & Bernd Schwaab, 2008. "Forecasting Cross-Sections of Frailty-Correlated Default," Tinbergen Institute Discussion Papers 08-029/4, Tinbergen Institute.
         • Matthieu Lemoine, 2005. "A model of the stochastic convergence between business cycles," Documents de Travail de l'OFCE 2005-05, Observatoire Francais des Conjonctures Economiques (OFCE).
         • Swamy Paravastu & Peter Muehlen & Jatinder Singh Mehta & I-Lok Chang, 2022. "The State Of Econometrics After John W. Pratt, Robert Schlaifer, Brian Skyrms, And Robert L. Basmann," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 627-654, November.
         • F. Blasques & S. J. Koopman & A. Lucas, 2015. "Information-theoretic optimality of observation-driven time series models for continuous responses," Biometrika, Biometrika Trust, vol. 102(2), pages 325-343.
         • Berger, Tino & Pozzi, Lorenzo, 2013. "Measuring time-varying financial market integration: An unobserved components approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 463-473.
         • Gloria Martín Rodríguez & José Juan Cáceres Hernández, 2005. "Modeling weekly Canary tomato exports," Agricultural Economics, International Association of Agricultural Economists, vol. 33(3), pages 255-267, November.
         • Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," MPRA Paper 39452, University Library of Munich, Germany.
           • Liebermann, Joelle, 2012. "Real-time forecasting in a data-rich environment," Research Technical Papers 07/RT/12, Central Bank of Ireland.
         • Tucker McElroy, 2017. "Multivariate Seasonal Adjustment, Economic Identities, and Seasonal Taxonomy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 611-625, October.
         • 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.
         • Matthieu Lemoine & Florian Pelgrin, 2003. "Introduction aux modèles espace-état et au filtre de Kalman," Revue de l'OFCE, Presses de Sciences-Po, vol. 86(3), pages 203-229.
           • Matthieu Lemoine & Florian Pelgrin, 2003. "Introduction aux modèles espace état et au filtre de Kalman," Post-Print hal-01019094, HAL.
           • Matthieu Lemoine & Florian Pelgrin, 2003. "Introduction aux modèles espace état et au filtre de Kalman," SciencePo Working papers Main hal-01019094, HAL.
         • Martin Weale & Paul Labonne, 2022. "Nowcasting in the presence of large measurement errors and revisions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-05, Economic Statistics Centre of Excellence (ESCoE).
         • Alicia Rambaldi & Prasada Rao, 2011. "Hedonic Predicted House Price Indices Using Time-Varying Hedonic Models with Spatial Autocorrelation," Discussion Papers Series 432, School of Economics, University of Queensland, Australia.
         • Geert Mesters & Victor van der Geest & Catrien Bijleveld, 2014. "Crime, Employment and Social Welfare: an Individual-level Study on Disadvantaged Males," Tinbergen Institute Discussion Papers 14-091/III, Tinbergen Institute.
         • Clegg, Matthew & Krauss, Christopher, 2016. "Pairs trading with partial cointegration," FAU Discussion Papers in Economics 05/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
         • Sy-Miin Chow & Zhaohua Lu & Andrew Sherwood & Hongtu Zhu, 2016. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 102-134, March.
         • Masaru Chiba & Masahito Kobayashi, 2013. "Testing for a Single-Factor Stochastic Volatility in Bivariate Series," JRFM, MDPI, vol. 6(1), pages 1-31, December.
         • Homesh Sayal & John A. D. Aston & Duncan Elliott & Hernando Ombao, 2017. "An introduction to applications of wavelet benchmarking with seasonal adjustment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(3), pages 863-889, June.
         • Mumin Rao & Li Wang & Chuangting Chen & Kai Xiong & Mingfei Li & Zhengpeng Chen & Jiangbo Dong & Junli Xu & Xi Li, 2022. "Data-Driven State Prediction and Analysis of SOFC System Based on Deep Learning Method," Energies, MDPI, vol. 15(9), pages 1-15, April.
         • 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.
         • Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
           • Rob J. Hyndman & Yeasmin Khandakar, 2007. "Automatic time series forecasting: the forecast package for R," Monash Econometrics and Business Statistics Working Papers 6/07, Monash University, Department of Econometrics and Business Statistics.
         • Strickland, Christopher & Burdett, Robert & Mengersen, Kerrie & Denham, Robert, 2014. "PySSM: A Python Module for Bayesian Inference of Linear Gaussian State Space Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i06).
         • Siem Jan Koopman & André Lucas & Pieter Klaassen, 2002. "Pro-Cyclicality, Empirical Credit Cycles, and Capital Buffer Formation," Tinbergen Institute Discussion Papers 02-107/2, Tinbergen Institute.
         • Rzayev, Khaladdin & Ibikunle, Gbenga, 2019. "A state-space modeling of the information content of trading volume," Journal of Financial Markets, Elsevier, vol. 46(C).
         • Tucker McElroy & Thomas Trimbur, 2015. "Signal Extraction for Non-Stationary Multivariate Time Series with Illustrations for Trend Inflation," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 209-227, March.
           • Tucker S. McElroy & Thomas M. Trimbur, 2012. "Signal extraction for nonstationary multivariate time series with illustrations for trend inflation," Finance and Economics Discussion Series 2012-45, Board of Governors of the Federal Reserve System (U.S.).
         • Tanja Krone & Casper J. Albers & Marieke E. Timmerman, 2017. "A comparative simulation study of AR(1) estimators in short time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 1-21, January.
         • 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).
         • Z. B. Ön & A. M. Greaves & S. Akçer-Ön & M. S. Özeren, 2021. "A Bayesian test for the 4.2 ka BP abrupt climatic change event in southeast Europe and southwest Asia using structural time series analysis of paleoclimate data," Climatic Change, Springer, vol. 165(1), pages 1-19, March.
         • De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
         • Heimberger, Philipp & Kapeller, Jakob & Schütz, Bernhard, 2017. "The NAIRU determinants: What’s structural about unemployment in Europe?," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 883-908.
         • Alessandro Cardinali, 2012. "Estimating volatility from ATM options with lognormal stochastic variance and long memory," Applied Financial Economics, Taylor & Francis Journals, vol. 22(9), pages 733-748, May.
         • Lucas P. Harlaar & Jacques J.F. Commandeur & Jan A. van den Brakel & Siem Jan Koopman & Niels Bos & Frits D. Bijleveld, 2024. "Statistical Early Warning Models with Applications," Tinbergen Institute Discussion Papers 24-037/III, Tinbergen Institute.
         • S. Boragan Aruoba, 2014. "Term Structures of Inflation Expectations and Real Interest Rates: The Effects of Unconventional Monetary Policy," Staff Report 502, Federal Reserve Bank of Minneapolis.
         • Jian He & Asma Khedher & Peter Spreij, 2024. "Calibration of the rating transition model for high and low default portfolios," Papers 2405.00576, arXiv.org.
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         • 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.
         • Carlos Eduardo de Moura & Adrian Pizzinga & Jorge Zubelli, 2016. "A pairs trading strategy based on linear state space models and the Kalman filter," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1559-1573, October.
         • Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
           • Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Discussion Papers 25/2023, Deutsche Bundesbank.
         • Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.
         • Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2011. "Systemic risk diagnostics: coincident indicators and early warning signals," Working Paper Series 1327, European Central Bank.
         • Borus Jungbacker & Siem Jan Koopman, 2006. "Monte Carlo Likelihood Estimation for Three Multivariate Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 385-408.
         • 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.
         • Filippo Ferroni & Stefano Grassi & Miguel A. León-Ledesma, 2017. "Selecting Primal Innovations in DSGE models," Working Paper Series WP-2017-20, Federal Reserve Bank of Chicago.
         • Allin Cottrell & Riccardo (Jack) Lucchetti & Matteo Pelagatti, 2016. "Measures of variance for smoothed disturbances in linear state-space models: a clarification," gretl working papers 3, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
         • Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto & Anjali Chouhan, 2017. "Modeling the business and financial cycle in a multivariate structural time series model," DNB Working Papers 573, Netherlands Central Bank, Research Department.
         • Weigand Roland & Wanger Susanne & Zapf Ines, 2018. "Factor Structural Time Series Models for Official Statistics with an Application to Hours Worked in Germany," Journal of Official Statistics, Sciendo, vol. 34(1), pages 265-301, March.
           • Weigand, Roland & Wanger, Susanne & Zapf, Ines, 2015. "Factor structural time series models for official statistics with an application to hours worked in Germany," IAB-Discussion Paper 201522, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
         • Krieg, Sabine & van den Brakel, Jan A., 2012. "Estimation of the monthly unemployment rate for six domains through structural time series modelling with cointegrated trends," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2918-2933.
         • Fernando Antonio Lucena Aiube & Ariel Levy, 2019. "Recent movement of oil prices and future scenarios [Movimentos recentes dos preços do petróleo e os cenários futuros]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 29(1), pages 223-248, January-A.
         • Alain Galli, 2018. "Which Indicators Matter? Analyzing the Swiss Business Cycle Using a Large-Scale Mixed-Frequency Dynamic Factor Model," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 179-218, November.
           • Dr. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.
         • Jaime Casassus & Peng Liu & Ke Tang, 2011. "Relative Scarcity of Commodities with a Long-Term Economic Relationship and the Correlation of Futures Returns," Documentos de Trabajo 404, Instituto de Economia. Pontificia Universidad Católica de Chile..
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         • Oleg Rytchkov, 2012. "Filtering Out Expected Dividends and Expected Returns," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-56.
         • Bhatta, Guna Raj & Nepal, Rabindra & Harvie, Charles & Jayanthakumaran, Kankesu, 2022. "Testing for the uncovered interest parity condition in a small open economy: A state space modelling approach," Journal of Asian Economics, Elsevier, vol. 82(C).
           • Guna Raj Bhatta & Rabindra Nepal & Charles Harvie & Kankesu Jayanthakumaran, 2021. "Testing for uncovered interest parity conditions in a small open economy: A state space modelling approach," CAMA Working Papers 2021-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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         • Wei Kang & David Penn & Joachim Zietz, 2015. "The response of state employment to oil price volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 478-500, July.
         • Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
         • Francisco Blasques & Siem Jan Koopman & Max Mallee, 2014. "Low Frequency and Weighted Likelihood Solutions for Mixed Frequency Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-105/III, Tinbergen Institute.
         • Johannes Huber, 2022. "An Augmented Steady-State Kalman Filter to Evaluate the Likelihood of Linear and Time-Invariant State-Space Models," Discussion Paper Series 343, Universitaet Augsburg, Institute for Economics.
         • Danilo Vassallo & Giacomo Bormetti & Fabrizio Lillo, 2019. "A tale of two sentiment scales: Disentangling short-run and long-run components in multivariate sentiment dynamics," Papers 1910.01407, arXiv.org, revised Sep 2020.
         • 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.
         • Andersson, Fredrik N. G. & Li, Yushu, 2014. "Are Central Bankers Inflation Nutters? - A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model," Discussion Papers 2014/38, Norwegian School of Economics, Department of Business and Management Science.
         • García-Martos, Carolina & Rodríguez, Julio & Sánchez, María Jesús, 2011. "Forecasting electricity prices and their volatilities using Unobserved Components," Energy Economics, Elsevier, vol. 33(6), pages 1227-1239.
         • Peter Dreuw, 2023. "Structural time series models and synthetic controls—assessing the impact of the euro adoption," Empirical Economics, Springer, vol. 64(2), pages 681-725, February.
         • Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring financial cycles with a model-based filter: Empirical evidence for the United States and the euro area," DNB Working Papers 495, Netherlands Central Bank, Research Department.
         • Chansu Lim, 2019. "Estimating Residential and Industrial City Gas Demand Function in the Republic of Korea—A Kalman Filter Application," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
         • Scott A. Brave & R. Andrew Butters & David Kelley, 2019. "A New “Big Data” Index of U.S. Economic Activity," Economic Perspectives, Federal Reserve Bank of Chicago, issue 1, pages 1-30.
         • 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.
         • Tommaso Proietti, 2006. "Measuring Core Inflation by Multivariate Structural Time Series Models," CEIS Research Paper 83, Tor Vergata University, CEIS.
         • 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.
         • Sampi Bravo,James Robert Ezequiel & Jooste,Charl, 2020. "Nowcasting Economic Activity in Times of COVID-19 : An Approximation from the Google Community Mobility Report," Policy Research Working Paper Series 9247, The World Bank.
         • Rojas, Helder & Dias, David, 2021. "Transfer of macroeconomic shocks in stress tests modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
         • Sy-Miin Chow & Lu Ou & Arridhana Ciptadi & Emily B. Prince & Dongjun You & Michael D. Hunter & James M. Rehg & Agata Rozga & Daniel S. Messinger, 2018. "Representing Sudden Shifts in Intensive Dyadic Interaction Data Using Differential Equation Models with Regime Switching," Psychometrika, Springer;The Psychometric Society, vol. 83(2), pages 476-510, June.
         • 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.
         • Jacek Kwiatkowski, 2008. "Bayesian Analysis of Polish Inflation Rates Using RCA and GLL Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 129-138.
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         • Claudia Foroni & Massimiliano Marcellino, 2014. "Mixed frequency structural VARs," Working Paper 2014/01, Norges Bank.
         • Tobias Hartl, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," Papers 2102.10067, arXiv.org.
         • Francis X. Diebold, 2020. "Real-Time Real Economic Activity: Entering and Exiting the Pandemic Recession of 2020," Papers 2006.15183, arXiv.org, revised Jan 2022.
           • Francis X. Diebold, 2022. "Real-Time Real Economic Activity:Entering and Exiting the Pandemic Recession of 2020," PIER Working Paper Archive 22-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
         • Dennis Bonam & Gabriele Galati & Irma Hindrayanto & Marco Hoeberichts & Anna Samarina & Irina Stanga, 2019. "Inflation in the euro area since the Global Financial Crisis," DNB Occasional Studies 1703, Netherlands Central Bank, Research Department.
         • Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius, 2010. "Exact maximum likelihood estimation for non-stationary periodic time series models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2641-2654, November.
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         • Samuel N. Cohen & Silvia Lui & Will Malpass & Giulia Mantoan & Lars Nesheim & 'Aureo de Paula & Andrew Reeves & Craig Scott & Emma Small & Lingyi Yang, 2023. "Nowcasting with signature methods," Papers 2305.10256, arXiv.org.
         • Luke Mosley & Tak-Shing Chan & Alex Gibberd, 2023. "sparseDFM: An R Package to Estimate Dynamic Factor Models with Sparse Loadings," Papers 2303.14125, arXiv.org.
         • Smith, Michael Stanley, 2023. "Implicit Copulas: An Overview," Econometrics and Statistics, Elsevier, vol. 28(C), pages 81-104.
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         • Miller, Tom W. & Sabbarese, Donald, 2012. "An Economic Indicator for the State of the Economy in the Southeastern U.S," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 42(1), pages 1-27.
         • Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
         • Charalampidis, Nikolaos, 2020. "On unemployment cycles in the Euro Area, 1999–2018," European Economic Review, Elsevier, vol. 121(C).
         • Vujić Sunčica & Koopman Siem Jan & Commandeur J.F., 2012. "Economic Trends and Cycles in Crime: A Study for England and Wales," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(6), pages 652-677, December.
         • S. Boragan Aruoba & Francis X. Diebold & Chiara Scotti, 2007. "Real-Time Measurement of Business Conditions, Second Version," PIER Working Paper Archive 08-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 04 Apr 2008.
         • Stephanie R. Clark & Dan Pagendam & Louise Ryan, 2022. "Forecasting Multiple Groundwater Time Series with Local and Global Deep Learning Networks," IJERPH, MDPI, vol. 19(9), pages 1-31, April.
         • Michele Caivano & Andrew Harvey & Alessandra Luati, 2016. "Robust time series models with trend and seasonal components," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 99-120, March.
         • Tims, B. & Mahieu, R.J., 2003. "A Range-Based Multivariate Model for Exchange Rate Volatility," ERIM Report Series Research in Management ERS-2003-022-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
         • Rausser, Gordon & Stuermer, Martin, 2020. "A Dynamic Analysis of Collusive Action: The Case of the World Copper Market, 1882-2016," MPRA Paper 104708, University Library of Munich, Germany.
         • Chan, Ying Tung & Qiao, Hui, 2023. "Volatility spillover between oil and stock prices: Structural connectedness based on a multi-sector DSGE model approach with Bayesian estimation," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 265-286.
         • Christophe Cahn & Julien Matheron & Jean‐Guillaume Sahuc, 2017. "Assessing the Macroeconomic Effects of LTROs during the Great Recession," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(7), pages 1443-1482, October.
           • Christophe Cahn & Julien Matheron & Jean-Guillaume Sahuc, 2017. "Assessing the Macroeconomic Effects of LTROs During the Great Recession," Post-Print hal-01612698, HAL.
         • Dat T. Pham & Adam D. Switzer & Gabriel Huerta & Aron J. Meltzner & Huan M. Nguyen & Emma M. Hill, 2019. "Spatiotemporal variations of extreme sea levels around the South China Sea: assessing the influence of tropical cyclones, monsoons and major climate modes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 969-1001, September.
         • Paolo Agnolucci & Vincenzo De Lipsis, 2020. "Long-run trend in agricultural yield and climatic factors in Europe," Climatic Change, Springer, vol. 159(3), pages 385-405, April.
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         • Alexander Kreuzer & Luciana Dalla Valle & Claudia Czado, 2022. "A Bayesian non‐linear state space copula model for air pollution in Beijing," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 613-638, June.
         • Wang, Pengjie & Pantelous, Athanasios A. & Vahid, Farshid, 2023. "Multi-population mortality projection: The augmented common factor model with structural breaks," International Journal of Forecasting, Elsevier, vol. 39(1), pages 450-469.
         • Shepherd, Ben, 2012. "When are adaptive expectations rational? A generalization," Economics Letters, Elsevier, vol. 115(1), pages 4-6.
           • Shepherd, Ben, 2011. "When are adaptive expectations rational? A generalization," MPRA Paper 34644, University Library of Munich, Germany.
         • Tino Berger, 2012. "The dynamics of short- and long-run capital mobility: evidence from a time-varying parameter error-correction model," Applied Economics, Taylor & Francis Journals, vol. 44(19), pages 2491-2498, July.
         • Matti Vihola & Jouni Helske & Jordan Franks, 2020. "Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1339-1376, December.
         • Peter McAdam & Anders Warne, 2024. "Density forecast combinations: The real‐time dimension," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1153-1172, August.
           • McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.
         • Guillochon, Justine & Le Roux, Julien, 2023. "Unobserved components model(s): output gaps and financial cycles," Working Paper Series 2832, European Central Bank.
         • Paul Knottnerus, 2016. "On new variance approximations for linear models with inequality constraints," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(1), pages 26-46, February.
         • Francis X. Diebold & Lutz Kilian & Marc Nerlove, 2006. "Time Series Analysis," PIER Working Paper Archive 06-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
           • Diebold, F.X. & Kilian, L. & Nerlove, Marc, 2006. "Time Series Analysis," Working Papers 28556, University of Maryland, Department of Agricultural and Resource Economics.
         • Tincho Almuzara & Dante Amengual & Enrique Sentana, 2017. "Normality Tests for Latent Variables," Working Papers wp2018_1708, CEMFI.
         • Olivier David & Aurélie Garnier & Catherine Larédo & Jane Lecomte, 2010. "Estimation of Plant Demographic Parameters from Stage-Structured Censuses," Biometrics, The International Biometric Society, vol. 66(3), pages 875-882, September.
         • Inkyu Kang, 2023. "How does technology‐based monitoring affect street‐level bureaucrats' behavior? An analysis of body‐worn cameras and police actions," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(4), pages 971-991, September.
         • McAdam, Peter & Warne, Anders, 2019. "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, vol. 35(2), pages 580-600.
           • McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
         • Patrik Kupkovic & Martin Suster, 2020. "Identifying the Financial Cycle in Slovakia," Working and Discussion Papers WP 2/2020, Research Department, National Bank of Slovakia.
         • Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
         • Siem Jan Koopman & Soon Yip Wong, 2006. "Extracting Business Cycles using Semi-parametric Time-varying Spectra with Applications to US Macroeconomic Time Series," Tinbergen Institute Discussion Papers 06-105/4, Tinbergen Institute.
         • Castillo-Manzano, José I. & Castro-Nuño, Mercedes & González-Laxe, Fernando & Pedregal, Diego J., 2018. "Legal reform and the devolution of the Spanish Port System: An econometric assessment," Utilities Policy, Elsevier, vol. 50(C), pages 73-82.
         • J. O. Ramsay & G. Hooker & D. Campbell & J. Cao, 2007. "Parameter estimation for differential equations: a generalized smoothing approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(5), pages 741-796, November.
         • 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.
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         • Ilka van de Werve & Siem Jan Koopman, 2022. "Finding the European crime drop using a panel data model with stochastic trends," Tinbergen Institute Discussion Papers 22-089/III, Tinbergen Institute.
         • Alicia Rambaldi & Ryan McAllister & Kerry Collins & Cameron Fletcher, 2011. "An Unobserved Components Approach to Separating Land from Structure in Property Prices: A Case Study for the City of Brisbane," Discussion Papers Series 428, School of Economics, University of Queensland, Australia.
         • Muhammad, Javid & Abdul, Qayyum, 2013. "Electricity consumption-GDP nexus: A structural time series analysis," MPRA Paper 47448, University Library of Munich, Germany.
         • Cecilia Frale, "undated". "Do Surveys Help in Macroeconomic Variables Disaggregation and Estimation?," Working Papers wp2008-2, Department of the Treasury, Ministry of the Economy and of Finance.
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         • Dimitrios Thomakos & Hossein Hassani & Kerry Patterson, 2013. "Optimal Linear Filtering, Smoothing and Trend Extraction for the m-th Differences of a Unit Root Process: A Singular Spectrum Analysis Approach," Economics Discussion Papers em-dp2013-04, Department of Economics, University of Reading.
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         • Riccardo Corradini, 2019. "A Set of State–Space Models at a High Disaggregation Level to Forecast Italian Industrial Production," J, MDPI, vol. 2(4), pages 1-53, November.
         • Pizzinga, Adrian & Fernandes, Cristiano & Contreras, Sergio, 2008. "Restricted Kalman filtering revisited," Journal of Econometrics, Elsevier, vol. 144(2), pages 428-429, June.
         • Dutra, Tiago Mota & Dias, José Carlos & Teixeira, João C.A., 2022. "Measuring financial cycles: Empirical evidence for Germany, United Kingdom and United States of America," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 599-630.
         • Audrino, Francesco & Tetereva, Anastasija, 2019. "Sentiment spillover effects for US and European companies," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 542-567.
         • 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.
         • Strid, Ingvar, 2010. "Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2814-2835, November.
         • Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
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         • Name 1 Dieter Wang Email 1 & Iman (I.P.P.) van Lelyveld & Julia (J.) Schaumburg, 2018. "Do information contagion and business model similarities explain bank credit risk commonalities?," Tinbergen Institute Discussion Papers 18-100/IV, Tinbergen Institute.
           • Wang, Dieter & van Lelyveld, Iman & Schaumburg, Julia, 2019. "Do information contagion and business model similarities explain bank credit risk commonalities?," ESRB Working Paper Series 94, European Systemic Risk Board.
           • Dieter Wang & Iman van Lelyveld & Julia Schaumburg, 2018. "Do information contagion and business model similarities explain bank credit risk commonalities?," DNB Working Papers 619, Netherlands Central Bank, Research Department.
         • Josef Arlt & Petr Pokorný, 2006. "Model nepozorovaných komponent a jeho využití při identifikaci společných trendů časových řad [The model of unobservable components and its use for identification of time series common trends]," Politická ekonomie, Prague University of Economics and Business, vol. 2006(1), pages 48-55.
         • Gebhard Flaig, 2003. "Time Series Properties of the German Monthly Production Index," CESifo Working Paper Series 833, CESifo.
         • Lucia Alessi & Matteo Barigozzi & Marco Capasso, 2006. "Dynamic Factor GARCH: Multivariate Volatility Forecast for a Large Number of Series," LEM Papers Series 2006/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
         • Siem Jan Koopman & André Lucas & Marcel Scharth, 2015. "Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State-Space Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 114-127, January.
           • Siem Jan Koopman & Andre Lucas & Marcel Scharth, 2011. "Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 11-057/4, Tinbergen Institute, revised 27 Jan 2012.
         • Alexander Tsyplakov, 2011. "An introduction to state space modeling (in Russian)," Quantile, Quantile, issue 9, pages 1-24, July.
         • A. Peyrache & A. N. Rambaldi, 2012. "A State-Space Stochastic Frontier Panel Data Model," CEPA Working Papers Series WP012012, School of Economics, University of Queensland, Australia.
         • Fulop, Andras & Li, Junye, 2013. "Efficient learning via simulation: A marginalized resample-move approach," Journal of Econometrics, Elsevier, vol. 176(2), pages 146-161.
         • Hall, Viv & Thomson, Peter & McKelvie, Stuart, 2015. "On trend robustness and end-point issues for New Zealand’s stylised business cycle facts," Working Paper Series 18867, Victoria University of Wellington, School of Economics and Finance.
         • Siem Jan Koopman & Soon Yip Wong, 2008. "Spline Smoothing over Difficult Regions," Tinbergen Institute Discussion Papers 08-114/4, Tinbergen Institute.
         • Helder Rojas & David Dias, 2018. "Transmission of Macroeconomic Shocks to Risk Parameters: Their uses in Stress Testing," Papers 1809.07401, arXiv.org, revised May 2019.
         • Bruche, Max, 2005. "Estimating structural bond pricing models via simulated maximum likelihood," LSE Research Online Documents on Economics 24647, London School of Economics and Political Science, LSE Library.
         • Andrzej Toroj, 2011. "Competitiveness channel in Poland and Slovakia: a pre-EMU DSGE analysis," NBP Working Papers 86, Narodowy Bank Polski.
         • Boril Šopov & Jakub Seidler, 2011. "Yield Curve Dynamics: Regional Common Factor Model," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 140-156.
           • Boril Šopov & Jakub Seidler, 2010. "Yield Curve Dynamics: Regional Common Factor Model," Working Papers IES 2010/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2010.
         • Francesco Calvori & Drew Creal & Siem Jan Koopman & Andre Lucas, 2014. "Testing for Parameter Instability in Competing Modeling Frameworks," Tinbergen Institute Discussion Papers 14-010/IV/DSF71, Tinbergen Institute.
         • Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2018. "Volatility forecasting using global stochastic financial trends extracted from non-synchronous data," Econometrics and Statistics, Elsevier, vol. 5(C), pages 67-82.
           • Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2015. "Volatility forecasting using global stochastic financial trends extracted from non-synchronous data," MPRA Paper 64503, University Library of Munich, Germany.
         • Trapero, Juan R. & Pedregal, Diego J., 2016. "A novel time-varying bullwhip effect metric: An application to promotional sales," International Journal of Production Economics, Elsevier, vol. 182(C), pages 465-471.
         • Kevin Kotze & Stan Du Plessis, 2012. "Trends and Structural Changes in South African Macroeconomic Volatility," Working Papers 297, Economic Research Southern Africa.
         • Tsuruoka, Yuriko & Tamura, Yoshiyasu & Shibasaki, Ryosuke, 2007. "Reciprocal contribution analysis of the left and right hips while walking," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 535-541.
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         • Benjamin Avanzi & Gregory Clive Taylor & Phuong Anh Vu & Bernard Wong, 2020. "A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving," Papers 2004.06880, arXiv.org.
         • Siem Jan Koopman & John A. D. Aston, 2006. "A non-Gaussian generalization of the Airline model for robust seasonal adjustment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 325-349.
         • Francis Vitek, 2005. "An Unobserved Components Model of the Monetary Transmission Mechanism in a Small Open Economy," Macroeconomics 0512019, University Library of Munich, Germany, revised 06 Feb 2006.
         • Søren Johansen & Morten Nyboe Tabor, 2017. "Cointegration between Trends and Their Estimators in State Space Models and Cointegrated Vector Autoregressive Models," Econometrics, MDPI, vol. 5(3), pages 1-15, August.
         • Creal, Drew & Kim, Jaeho, 2024. "Bayesian estimation of cluster covariance matrices of unknown form," Journal of Econometrics, Elsevier, vol. 241(1).
         • Olivier Filatriau & Frédéric Reynés, 2012. "A new estimate of discouraged and additional worker effects on labor participation by sex and age in OECD countries," Working Papers hal-03476015, HAL.
         • Markmann, Holger & Zietz, Joachim, 2017. "Determining the effectiveness of the Eurosystem’s Covered Bond Purchase Programs on secondary markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 314-327.
         • Sy-Miin Chow & Jungmin Lee & Abe D. Hofman & Han L. J. Maas & Dennis K. Pearl & Peter C. M. Molenaar, 2022. "Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 559-592, June.
         • Arlene Naranjo & A. Alexandre Trindade & George Casella, 2013. "Extending the State-Space Model to Accommodate Missing Values in Responses and Covariates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 202-216, March.
         • Harvey, A. & Liao, Y., 2019. "Dynamic Tobit models," Cambridge Working Papers in Economics 1913, Faculty of Economics, University of Cambridge.
         • Jung Won Hyun & Prabir Burman & Debashis Paul, 2018. "Local Linear Estimation for Spatial Random Processes with Stochastic Trend and Stationary Noise," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(2), pages 369-394, November.
         • Hellwagner, Timon & Weber, Enzo, 2021. "Labour Market Adjustments to Population Decline," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242455, Verein für Socialpolitik / German Economic Association.
         • Silvia S.W. Lui, 2006. "An Empirical Study of Asian Stock Volatility Using Stochastic Volatility Factor Model: Factor Analysis and Forecasting," Working Papers 581, Queen Mary University of London, School of Economics and Finance.
         • Yoshida, Wataru & Hirose, Kei, 2024. "Fast same-step forecast in SUTSE model and its theoretical properties," Computational Statistics & Data Analysis, Elsevier, vol. 190(C).
         • Steffen Hitzemann & Marliese Uhrig-Homburg, 2019. "Empirical performance of reduced-form models for emission permit prices," Review of Derivatives Research, Springer, vol. 22(3), pages 389-418, October.
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         • Rambaccussing, Dooruj, 2015. "Modelling Housing Prices using a Present Value State Space Model," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-32, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
         • James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
         • Juan C. Méndez-Vizcaíno & Alexander Guarin & César Anzola-Bravo & Anderson Grajales-Olarte, 2021. "Characterizing and Communicating the Balance of Risks of Macroeconomic Forecasts: A Predictive Density Approach for Colombia," Borradores de Economia 1178, Banco de la Republica de Colombia.
         • Siem Jan Koopman & Rutger Lit & Andre Lucas, 2016. "Model-based Business Cycle and Financial Cycle Decomposition for Europe and the U.S," Tinbergen Institute Discussion Papers 16-051/IV, Tinbergen Institute.
         • Vujić, Sunčica & Commandeur, Jacques J.F. & Koopman, Siem Jan, 2016. "Intervention time series analysis of crime rates: The case of sentence reform in Virginia," Economic Modelling, Elsevier, vol. 57(C), pages 311-323.
         • Martin-Rodriguez, Gloria & Caceres-Hernandez, Jose Juan, 2005. "Modelling the hourly Spanish electricity demand," Economic Modelling, Elsevier, vol. 22(3), pages 551-569, May.
         • Siem Jan Koopman & Rutger Lit & André Lucas, 2014. "The Dynamic Skellam Model with Applications," Tinbergen Institute Discussion Papers 14-032/IV/DSF73, Tinbergen Institute, revised 06 Jul 2015.
         • Chen, Hong & Gangopadhyay, Partha & Singh, Baljeet & Shankar, Sriram, 2022. "Measuring preferences for energy efficiency in ACI and EU nations and uncovering their impacts on energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
         • MORI Tomoya & MURAKAMI Daisuke, 2024. "The Rise and Fall of Cities under Declining Population and Diminishing Distance Frictions: The case of Japan," Discussion papers 24028, Research Institute of Economy, Trade and Industry (RIETI).
         • Charles F. Nicholson & Mark W. Stephenson, 2015. "Milk Price Cycles in the U.S. Dairy Supply Chain and Their Management Implications," Agribusiness, John Wiley & Sons, Ltd., vol. 31(4), pages 507-520, October.
         • Timo Baas & Marjan Aikimbaeva, 2016. "Macroeconomic Stability and the Single European Labor Market," EcoMod2016 9555, EcoMod.
         • 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.
         • 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.
         • El Assaad, Hani & Samé, Allou & Govaert, Gérard & Aknin, Patrice, 2016. "A variational Expectation–Maximization algorithm for temporal data clustering," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 206-228.
         • Dordonnat, V. & Koopman, S.J. & Ooms, M. & Dessertaine, A. & Collet, J., 2008. "An hourly periodic state space model for modelling French national electricity load," International Journal of Forecasting, Elsevier, vol. 24(4), pages 566-587.
           • V. Dordonnat & S.J. Koopman & M. Ooms & A. Dessertaine & J. Collet, 2008. "An Hourly Periodic State Space Model for Modelling French National Electricity Load," Tinbergen Institute Discussion Papers 08-008/4, Tinbergen Institute.
         • Maclachlan, Iain C, 2007. "An empirical study of corporate bond pricing with unobserved capital structure dynamics," MPRA Paper 28416, University Library of Munich, Germany.
         • J. Huston McCulloch, 2005. "The Kalman Foundations of Adaptive Least Squares: Applications to Unemployment and Inflation," Computing in Economics and Finance 2005 239, Society for Computational Economics.
         • Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.
         • Charles S. Bos & Siem Jan Koopman & Marius Ooms, 2007. "Long memory modelling of inflation with stochastic variance and structural breaks," CREATES Research Papers 2007-44, Department of Economics and Business Economics, Aarhus University.
           • C.S. Bos & S.J. Koopman & M. Ooms, 2007. "Long Memory Modelling of Inflation with Stochastic Variance and Structural Breaks," Tinbergen Institute Discussion Papers 07-099/4, Tinbergen Institute.
         • Bräuning, Falk & Koopman, Siem Jan, 2020. "The dynamic factor network model with an application to international trade," Journal of Econometrics, Elsevier, vol. 216(2), pages 494-515.
         • Petar Sorić & Mirjana Čižmešija & Marina Matošec, 2020. "EU Consumer Confidence and the New Modesty Hypothesis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(3), pages 899-921, December.
         • Proietti, Tommaso, 2008. "Band spectral estimation for signal extraction," Economic Modelling, Elsevier, vol. 25(1), pages 54-69, January.
           • Tommaso Proietti, 2007. "Band Spectral Estimation for Signal Extraction," CEIS Research Paper 104, Tor Vergata University, CEIS.
         • 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.
         • Alexandre Ounnas, 2020. "Worker Flows and Occupations in the CPS 1976-2010: A Framework for Adjusting the Data," LIDAM Discussion Papers IRES 2020008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
         • Shephard, Neil & Xiu, Dacheng, 2017. "Econometric analysis of multivariate realised QML: Estimation of the covariation of equity prices under asynchronous trading," Journal of Econometrics, Elsevier, vol. 201(1), pages 19-42.
         • Hendershott, Terrence & Menkveld, Albert J., 2014. "Price pressures," Journal of Financial Economics, Elsevier, vol. 114(3), pages 405-423.
           • Hendershott, Terrence & Menkveld, Albert J., 2010. "Price pressures," CFS Working Paper Series 2010/14, Center for Financial Studies (CFS).
         • Haque, M. Ohidul & Haque, Tariq H., 2018. "Evaluating the effects of the road safety system approach in Brunei," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 594-607.
         • Michel-Pierre Chélini & Georges Prat, 2019. "Verständnis der langfristigen Dynamik von Arbeitslosigkeit und Löhnen in Frankreich [Understanding the Long Run Dynamics of French Unemployment and Wages]," Post-Print hal-04400810, HAL.
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         • 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.
         • Díaz, Guzmán & Gómez-Aleixandre, Javier & Coto, José, 2016. "Wind power scenario generation through state-space specifications for uncertainty analysis of wind power plants," Applied Energy, Elsevier, vol. 162(C), pages 21-30.
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         • Hahn, William F. & Jones, Keithly G. & Davis, Christopher G., 2003. "Levels or Differences in Meat Demand Specification," 2003 Annual meeting, July 27-30, Montreal, Canada 21896, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
         • Phillip M. Yelland & Shinji Kim & Renée Stratulate, 2010. "A Bayesian Model for Sales Forecasting at Sun Microsystems," Interfaces, INFORMS, vol. 40(2), pages 118-129, April.
         • Albert J. Menkveld & Siem Jan Koopman & André Lucas, 2003. "Round-the-Clock Price Discovery for Cross-Listed Stocks: US-Dutch Evidence," Tinbergen Institute Discussion Papers 03-037/2, Tinbergen Institute, revised 13 Oct 2003.
         • Kuzin, Vladimir, 2006. "The inflation aversion of the Bundesbank: A state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1671-1686.
         • Hungnes Håvard, 2015. "Testing for co-nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(3), pages 339-353, June.
           • Håvard Hungnes, 2012. "Testing for co-non-linearity," Discussion Papers 699, Statistics Norway, Research Department.
         • 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.
         • Sbrana, Giacomo & Silvestrini, Andrea, 2019. "Random switching exponential smoothing: A new estimation approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 211-220.
         • Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
         • Clegg, Matthew & Krauss, Christopher & Rende, Jonas, 2017. "partialCI: An R package for the analysis of partially cointegrated time series," FAU Discussion Papers in Economics 05/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
         • Fernando Antonio Lucena Aiube & Carlos Patricio Samanez & Tara Keshar Nanda Baidya & Larissa de Oliveira Resende, 2017. "Evaluating the risk premium in the U.S.A. natural gas market: evidence from low-price regime," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 860-871, February.
         • Neil Dias Karunaratne, 2013. "The mining boom, productivity conundrum and monetary policy design to combat resource curse effects in Australia," Discussion Papers Series 504, School of Economics, University of Queensland, Australia.
         • Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
         • Matteo Pelagatti & Valeria Negri, 2008. "Milan’s Cycle as an Accurate Leading Indicator for the Italian Business Cycle," Working Papers 20080601, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
         • Zirogiannis, Nikolaos & Tripodis, Yorghos, 2014. "Dynamic Factor Analysis for Short Panels: Estimating Performance Trajectories for Water Utilities," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170592, Agricultural and Applied Economics Association.
         • Quentin J M Huys & Liam Paninski, 2009. "Smoothing of, and Parameter Estimation from, Noisy Biophysical Recordings," PLOS Computational Biology, Public Library of Science, vol. 5(5), pages 1-16, May.
         • Virginia Cartaya & César Fleitas & José Rafael Vivas, 2008. "Midiendo la tasa de interés real natural en Venezuela," Investigación Conjunta-Joint Research, in: Centro de Estudios Monetarios Latinoamericanos (CEMLA) (ed.), Estimación y Uso de Variables no Observables en la Región, edition 1, volume 1, chapter 6, pages 145-163, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
         • Huttunen, J.M.J. & Kaipio, J.P. & Haario, H., 2018. "Approximation error approach in spatiotemporally chaotic models with application to Kuramoto–Sivashinsky equation," Computational Statistics & Data Analysis, Elsevier, vol. 123(C), pages 13-31.
         • Pellegrini, Santiago & Ruiz, Esther & Espasa, Antoni, 2011. "Prediction intervals in conditionally heteroscedastic time series with stochastic components," International Journal of Forecasting, Elsevier, vol. 27(2), pages 308-319.
           • Pellegrini, Santiago & Ruiz, Esther & Espasa, Antoni, 2011. "Prediction intervals in conditionally heteroscedastic time series with stochastic components," International Journal of Forecasting, Elsevier, vol. 27(2), pages 308-319, April.
         • Areti Boulieri & Silvia Liverani & Kees Hoogh & Marta Blangiardo, 2017. "A space–time multivariate Bayesian model to analyse road traffic accidents by severity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 119-139, January.
         • Bógalo, Juan & Llada, Martín & Poncela, Pilar & Senra, Eva, 2022. "Seasonality in COVID-19 times," Economics Letters, Elsevier, vol. 211(C).
         • Taussig, Roi D., 2022. "Market prices, analysts' predictions, and Covid19," Finance Research Letters, Elsevier, vol. 46(PA).
         • Giulio Bottazzi & Francesco Cordoni & Giulia Livieri & Stefano Marmi, 2020. "Stock Recommendations from Stochastic Discounted Cash Flows," LEM Papers Series 2020/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
         • Bordignon, Silvano & Bunn, Derek W. & Lisi, Francesco & Nan, Fany, 2013. "Combining day-ahead forecasts for British electricity prices," Energy Economics, Elsevier, vol. 35(C), pages 88-103.
         • Kookjin Lee & Jaideep Ray & Cosmin Safta, 2021. "The predictive skill of convolutional neural networks models for disease forecasting," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-26, July.
         • Bohl, Martin T. & Kaufmann, Philipp & Stephan, Patrick M., 2013. "From hero to zero: Evidence of performance reversal and speculative bubbles in German renewable energy stocks," Energy Economics, Elsevier, vol. 37(C), pages 40-51.
         • 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.
         • Swamy, P.A.V.B. & Mehta, J.S. & Tavlas, G.S. & Hall, S.G., 2015. "Two applications of the random coefficient procedure: Correcting for misspecifications in a small area level model and resolving Simpson's paradox," Economic Modelling, Elsevier, vol. 45(C), pages 93-98.
         • Hartl, Tobias, 2021. "Monitoring the pandemic: A fractional filter for the COVID-19 contact rate," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242380, Verein für Socialpolitik / German Economic Association.
         • Andersson, Fredrik N.G. & Li, Yushu, 2013. "How Flexible are the Inflation Targets? A Bayesian MCMC Estimator of the Long Memory Parameter in a State Space Model," Working Papers 2013:38, Lund University, Department of Economics.
         • Benjamin Wee, 2024. "Comparing MCMC algorithms in Stochastic Volatility Models using Simulation Based Calibration," Papers 2402.12384, arXiv.org.
         • Kutlu, Levent & Sickles, Robin C., 2012. "Estimation of market power in the presence of firm level inefficiencies," Journal of Econometrics, Elsevier, vol. 168(1), pages 141-155.
         • Rodriguez, Gloria Martin & Hernandez, Jose Juan Caceres, 2002. "Canary Island Tomato Exports: A Structural Analysis of Seasonality," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24901, European Association of Agricultural Economists.
         • Song, Feng & Cui, Jian & Yu, Yihua, 2022. "Dynamic volatility spillover effects between wind and solar power generations: Implications for hedging strategies and a sustainable power sector," Economic Modelling, Elsevier, vol. 116(C).
         • Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.
         • Hideaki Shimazaki & Shun-ichi Amari & Emery N Brown & Sonja Grün, 2012. "State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data," PLOS Computational Biology, Public Library of Science, vol. 8(3), pages 1-27, March.
         • 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.
         • Matteo Barigozzi & Angelo Cuzzola & Marco Grazzi & Daniele Moschella, 2021. "Factoring in the micro: a transaction-level dynamic factor approach to the decomposition of export volatility," LEM Papers Series 2021/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
         • Oksana Bollineni‐Balabay & Jan van den Brakel & Franz Palm & Harm Jan Boonstra, 2017. "Multilevel hierarchical Bayesian versus state space approach in time series small area estimation: the Dutch Travel Survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1281-1308, October.
         • Sturla Furunes Kvamsdal, 2016. "Technical Change as a Stochastic Trend in a Fisheries Model," Marine Resource Economics, University of Chicago Press, vol. 31(4), pages 403-419.
         • Obryan Poyser, 2019. "Exploring the dynamics of Bitcoin’s price: a Bayesian structural time series approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 29-60, March.
         • Zhuo Chen & Bo Yan & Hanwen Kang & Liyu Liu, 2023. "Asymmetric price adjustment and price discovery in spot and futures markets of agricultural commodities," Review of Economic Design, Springer;Society for Economic Design, vol. 27(1), pages 139-162, February.
         • Charles S. Bos & Siem Jan Koopman, 2010. "Models with Time-varying Mean and Variance: A Robust Analysis of U.S. Industrial Production," Tinbergen Institute Discussion Papers 10-017/4, Tinbergen Institute.
         • S. Borağan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 319-340, March.
           • S. Boragan Aruoba, 2008. "Data Revisions Are Not Well Behaved," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2-3), pages 319-340, March.
           • Aruoba, Boragan, 2005. "Data Revisions Are Not Well-Behaved," CEPR Discussion Papers 5271, C.E.P.R. Discussion Papers.
         • Sariola, Mikko, 2019. "An unobserved components model for Finland – Estimates of potential output and NAWRU," BoF Economics Review 2/2019, Bank of Finland.
         • E. Hamaker & R. Grasman, 2012. "Regime Switching State-Space Models Applied to Psychological Processes: Handling Missing Data and Making Inferences," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 400-422, April.
         • Liu, Ping & James Hueng, C., 2017. "Measuring real business condition in China," China Economic Review, Elsevier, vol. 46(C), pages 261-274.
         • Leopoldo Catania & Stefano Grassi & Francesco Ravazzolo, 2018. "Forecasting Cryptocurrencies Financial Time Series," Working Papers No 5/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
         • Linton, O. B. & Tang, H. & Wu, J., 2022. "A Structural Dynamic Factor Model for Daily Global Stock Market Returns," Janeway Institute Working Papers camjip:2214, Faculty of Economics, University of Cambridge.
         • repec:hal:wpspec:info:hdl:2441/2129 is not listed on IDEAS
         • Sanjeev Sridharan & Suncica Vujic & Siem Jan Koopman, 2003. "Intervention Time Series Analysis of Crime Rates," Tinbergen Institute Discussion Papers 03-040/4, Tinbergen Institute.
         • Koopman, Siem Jan & Lucas, André & Schwaab, Bernd, 2011. "Modeling frailty-correlated defaults using many macroeconomic covariates," Journal of Econometrics, Elsevier, vol. 162(2), pages 312-325, June.
         • Anders Skrondal & Sophia Rabe‐Hesketh, 2007. "Latent Variable Modelling: A Survey," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(4), pages 712-745, December.
         • André A. Monteiro, 2008. "Parameter Driven Multi-state Duration Models: Simulated vs. Approximate Maximum Likelihood Estimation," Tinbergen Institute Discussion Papers 08-021/2, Tinbergen Institute.
         • Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
         • Carles Bret'o, 2013. "On idiosyncratic stochasticity of financial leverage effects," Papers 1312.5496, arXiv.org.
         • Roland Langrock, 2011. "Some applications of nonlinear and non-Gaussian state--space modelling by means of hidden Markov models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2955-2970, March.
         • Ayman Alzaatreh & Carl Lee & Felix Famoye & Indranil Ghosh, 2016. "The generalized Cauchy family of distributions with applications," Journal of Statistical Distributions and Applications, Springer, vol. 3(1), pages 1-16, December.
         • Ciccarelli, Carlo & Fenoaltea, Stefano & Proietti, Tommaso, 2008. "The comovements of construction in Italy's regions, 1861-1913," MPRA Paper 8870, University Library of Munich, Germany.
         • Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
         • Mauro Bernardi & Lea Petrella, 2015. "Multiple seasonal cycles forecasting model: the Italian electricity demand," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 671-695, November.
         • repec:jss:jstsof:41:i05 is not listed on IDEAS
         • Rokas Gylys & Jonas Šiaulys, 2020. "Estimation of Uncertainty in Mortality Projections Using State-Space Lee-Carter Model," Mathematics, MDPI, vol. 8(7), pages 1-23, June.
         • Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
           • Petrella, Ivan & Delle Monache, Davide, 2016. "Adaptive models and heavy tails," Bank of England working papers 577, Bank of England.
           • Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
           • Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails," Temi di discussione (Economic working papers) 1052, Bank of Italy, Economic Research and International Relations Area.
           • Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
         • Caporale, Guglielmo Maria & Çatık, Abdurrahman Nazif & Huyuguzel Kısla, Gul Serife & Helmi, Mohamad Husam & Akdeniz, Coşkun, 2022. "Oil prices and sectoral stock returns in the BRICS-T countries: A time-varying approach," Resources Policy, Elsevier, vol. 79(C).
         • Tommaso Proietti, 2024. "Ups and (Draw)Downs," CEIS Research Paper 576, Tor Vergata University, CEIS, revised 03 May 2024.
         • Algaba, Andres & Borms, Samuel & Boudt, Kris & Verbeken, Brecht, 2023. "Daily news sentiment and monthly surveys: A mixed-frequency dynamic factor model for nowcasting consumer confidence," International Journal of Forecasting, Elsevier, vol. 39(1), pages 266-278.
           • Andres Algaba & Samuel Borms & Kris Boudt & Brecht Verbeken, 2021. "Daily news sentiment and monthly surveys: A mixed–frequency dynamic factor model for nowcasting consumer confidence," Working Paper Research 396, National Bank of Belgium.
         • Younghoon Kim & Marie-Christine Duker & Zachary F. Fisher & Vladas Pipiras, 2023. "Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series," Papers 2307.10454, arXiv.org, revised Jul 2024.
         • Kjartan Kloster Osmundsen & Tore Selland Kleppe & Roman Liesenfeld & Atle Oglend, 2021. "Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices," Econometrics, MDPI, vol. 9(4), pages 1-24, November.
         • Xiaoyi Mu and Haichun Ye, 2015. "Small Trends and Big Cycles in Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
         • Djennad, Abdelmajid & Rigby, Robert & Stasinopoulos, Dimitrios & Voudouris, Vlasios & Eilers, Paul, 2015. "Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications," MPRA Paper 62807, University Library of Munich, Germany.
         • Samuel Standaert & Stijn Ronsse & Benjamin Vandermarliere, 2014. "Historical trade integration: Globalization and the distance puzzle in the long 20th century," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/897, Ghent University, Faculty of Economics and Business Administration.
         • Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
         • Christophe Planas & Alessandro Rossi, 2004. "Can inflation data improve the real-time reliability of output gap estimates?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 121-133.
         • 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.
         • Nazif Çatık, Abdurrahman & Huyugüzel Kışla, Gül & Akdeni̇z, Coşkun, 2020. "Time-varying impact of oil prices on sectoral stock returns: Evidence from Turkey," Resources Policy, Elsevier, vol. 69(C).
         • Matthieu Lemoine & Gian Luigi Mazzi & Paola Monperrus-Veroni & Frédéric Reynes, 2010. "A new production function estimate of the euro area output gap This paper is based on a report for Eurostat: 'Real time estimation of potential output, output gap, NAIRU and Phillips curve for Euro-zo," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 29-53.
         • Fabio Busetti & Silvestro di Sanzo, 2011. "Bootstrap LR tests of stationarity, common trends and cointegration," Temi di discussione (Economic working papers) 799, Bank of Italy, Economic Research and International Relations Area.
         • Shirun Shen & Huiya Zhou & Kejun He & Lan Zhou, 2024. "Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 29(3), pages 601-620, September.
         • 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.
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