Srikanth Ramamurthy

Personal Details

First Name:	Srikanth
Middle Name:
Last Name:	Ramamurthy
Suffix:
RePEc Short-ID:	pra537
	[This author has chosen not to make the email address public]

Affiliation

International Monetary Fund (IMF)

Washington, District of Columbia (United States)
http://www.imf.org/
RePEc:edi:imfffus (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Eric Gaus & Srikanth Ramamurthy, 2012. "Estimation of Constant Gain Learning Models," Working Papers 12-01, Ursinus College, Department of Economics, revised 01 Apr 2014.

   Cited by:

   1. Berardi, Michele & Galimberti, Jaqueson K., 2017. "On the initialization of adaptive learning in macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 26-53.
      • Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.

Articles

1. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).

   Cited by:

   1. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
   2. James McNeil & Gregor W. Smith, 2023. "The All‐Gap Phillips Curve," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 269-282, April.
      • James McNeil & Gregor W. Smith, 2022. "The All-Gap Phillips Curve," Working Paper 1488, Economics Department, Queen's University.
   3. Mohammad R. Jahan-Parvar & Charles Knipp & Pawel J. Szerszen, 2024. "Trend-Cycle Decomposition and Forecasting Using Bayesian Multivariate Unobserved Components," Finance and Economics Discussion Series 2024-100, Board of Governors of the Federal Reserve System (U.S.).

2. Siddhartha Chib & Srikanth Ramamurthy, 2014. "DSGE Models with Student- t Errors," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 152-171, June.

   Cited by:

   1. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2014. "Fat-tails in VAR Models," Working Papers 714, Queen Mary University of London, School of Economics and Finance.
   2. Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
   3. Fabian Goessling, 2019. "Exact Expectations: Efficient Calculation of DSGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 977-990, March.
   4. Markku Lanne, 2013. "Noncausality and Inflation Persistence," Discussion Papers of DIW Berlin 1286, DIW Berlin, German Institute for Economic Research.
      • Lanne Markku, 2015. "Noncausality and inflation persistence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 469-481, September.
   5. Vasco Curdia & Marco Del Negro & Daniel L. Greenwald, 2012. "Rare shocks, great recessions," Staff Reports 585, Federal Reserve Bank of New York.
      • Vasco Cúrdia & Marco Del Negro & Daniel L. Greenwald, 2014. "Rare Shocks, Great Recessions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1031-1052, November.
      • Vasco Curdia & Marco Del Negro & Daniel L. Greenwald, 2013. "Rare Shocks, Great Recessions," Working Paper Series 2013-01, Federal Reserve Bank of San Francisco.
      • Marco Del Negro & Vasco Curdia, 2012. "Rare Shocks, Great Recessions," 2012 Meeting Papers 654, Society for Economic Dynamics.
   6. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
   7. Lin, Yi Chun, 2021. "Business cycle fluctuations in Taiwan — A Bayesian DSGE analysis," Journal of Macroeconomics, Elsevier, vol. 70(C).
   8. Dave, Chetan & Sorge, Marco M., 2021. "Equilibrium indeterminacy and sunspot tales," European Economic Review, Elsevier, vol. 140(C).
   9. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2019. "Non-Gaussian VARMA model with stochastic volatility and applications in stock market bubbles," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 129-136.
   10. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2015. "Forecasting with VAR Models: Fat Tails and Stochastic Volatility," CReMFi Discussion Papers 2, CReMFi, School of Economics and Finance, QMUL.
       • Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
       • Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2015. "Forecasting with VAR models: fat tails and stochastic volatility," Bank of England working papers 528, Bank of England.
   11. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
   12. Ferrentino, Rosa & Vota, Luca, 2024. "The development planning of the Italian Mezzogiorno: A statistical-mathematical analysis by a Real Business Cycle model," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
   13. M. Isor & U. Szczerbowicz, 2016. "Disaster Risk and Preference Shifts in a New Keynesian Model," Working papers 614, Banque de France.
       • Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
       • Marlène Isoré & Urszula Szczerbowicz, 2015. "Disaster Risk and Preference Shifts in a New Keynesian Model," Working Papers 2015-16, CEPII research center.
       • Isoré, Marlène & Szczerbowicz, Urszula, 2015. "Disaster risk and preference shifts in a New Keynesian model," MPRA Paper 65643, University Library of Munich, Germany.
   14. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
       • Linde, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks' Macro Models," CEPR Discussion Papers 11405, C.E.P.R. Discussion Papers.
   15. Mutschler, Willi, 2018. "Higher-order statistics for DSGE models," Econometrics and Statistics, Elsevier, vol. 6(C), pages 44-56.
       • Willi Mutschler, 2015. "Higher-order statistics for DSGE models," CQE Working Papers 4315, Center for Quantitative Economics (CQE), University of Muenster.
   16. Nelimarkka, Jaakko, 2017. "Evidence on News Shocks under Information Deficiency," MPRA Paper 80850, University Library of Munich, Germany.
   17. Lianfeng Song & Hongxia Wang & Huanshui Zhang & Hongdan Li, 2023. "Rational Expectations Models with Multiplicative Noise," Journal of Optimization Theory and Applications, Springer, vol. 199(1), pages 233-257, October.
   18. Helmut Herwartz & Alexander Lange, 2024. "How certain are we about the role of uncertainty in the economy?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 126-149, January.
   19. Jonathan A. Attey & Casper G. de Vries, 2016. "Monetary Policy in the Presence of Random Wage Indexation," Tinbergen Institute Discussion Papers 16-086/VI, Tinbergen Institute.
   20. Puonti, Päivi, 2019. "Data-driven structural BVAR analysis of unconventional monetary policy," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
   21. Dave, Chetan & Sorge, Marco M., 2020. "Sunspot-driven fat tails: A note," Economics Letters, Elsevier, vol. 193(C).
   22. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
   23. Markku Lanne & Mika Meitz & Pentti Saikkonen, 2015. "Identification and estimation of non-Gaussian structural vector autoregressions," CREATES Research Papers 2015-16, Department of Economics and Business Economics, Aarhus University.
       • Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
   24. Siddhartha Chib & Minchul Shin & Fei Tan, 2021. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Working Papers 21-02, Federal Reserve Bank of Philadelphia.
       • Siddhartha Chib & Minchul Shin & Fei Tan, 2023. "DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 69-111, January.
   25. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
   26. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
   27. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
   28. Liu, Xiaochun, 2019. "On tail fatness of macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 62(C).
   29. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
   30. Mutschler, Willi, 2015. "Identification of DSGE models—The effect of higher-order approximation and pruning," Journal of Economic Dynamics and Control, Elsevier, vol. 56(C), pages 34-54.
       • Willi Mutschler, 2014. "Identification of DSGE Models - the Effect of Higher-Order Approximation and Pruning," CQE Working Papers 3314, Center for Quantitative Economics (CQE), University of Muenster.
   31. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
       • Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
       • Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
   32. Michal Franta, 2015. "Rare Shocks vs. Non-linearities: What Drives Extreme Events in the Economy? Some Empirical Evidence," Working Papers 2015/04, Czech National Bank.
       • Franta, Michal, 2017. "Rare shocks vs. non-linearities: What drives extreme events in the economy? Some empirical evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 75(C), pages 136-157.
   33. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
   34. Markus Brunnermeier & Darius Palia & Karthik A. Sastry & Christopher A. Sims, 2021. "Feedbacks: Financial Markets and Economic Activity," American Economic Review, American Economic Association, vol. 111(6), pages 1845-1879, June.
       • Markus K. Brunnermeier & Darius Palia & Karthik A. Sastry & Christopher A. Sims, 2019. "Feedbacks: Financial Markets and Economic Activity," Working Papers 257, Princeton University, Department of Economics, Center for Economic Policy Studies..
   35. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
   36. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
   37. Fidel Ernesto Castro Morales & Dimitris N. Politis & Jacek Leskow & Marina Silva Paez, 2022. "Student’s-t process with spatial deformation for spatio-temporal data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1099-1126, December.
   38. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
   39. Xiao-Li Gong & Jin-Yan Lu & Xiong Xiong & Wei Zhang, 2022. "Higher-order dynamic effects of uncertainty risk under thick-tailed stochastic volatility," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.

3. Chib, Siddhartha & Ramamurthy, Srikanth, 2010. "Tailored randomized block MCMC methods with application to DSGE models," Journal of Econometrics, Elsevier, vol. 155(1), pages 19-38, March.

   Cited by:

   1. Siddhartha Chib & Minchul Shin & Anna Simoni, 2019. "Bayesian Estimation and Comparison of Conditional Moment Models," Working Papers 19-51, Federal Reserve Bank of Philadelphia.
      • Siddhartha Chib & Minchul Shin & Anna Simoni, 2022. "Bayesian estimation and comparison of conditional moment models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 740-764, July.
      • Siddhartha Chib & Minchul Shin & Anna Simoni, 2022. "Bayesian Estimation and Comparison of Conditional Moment Models," Post-Print hal-03504122, HAL.
      • Siddhartha Chib & Minchul Shin & Anna Simoni, 2021. "Bayesian Estimation and Comparison of Conditional Moment Models," Papers 2110.13531, arXiv.org.
   2. Kazuhiko Kakamu & Haruhisa Nishino, 2019. "Bayesian Estimation of Beta-type Distribution Parameters Based on Grouped Data," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 625-645, August.
   3. Cúrdia, Vasco, 2010. "Correlated Disturbances and U.S. Business Cycles," CEPR Discussion Papers 7712, C.E.P.R. Discussion Papers.
      • Vasco Cúrdia & Ricardo Reis, 2010. "Correlated Disturbances and U.S. Business Cycles," NBER Working Papers 15774, National Bureau of Economic Research, Inc.
      • Ricardo Reis & Vasco Curdia, 2009. "Correlated Disturbances and U.S. Business Cycles," 2009 Meeting Papers 129, Society for Economic Dynamics.
      • Vasco Curdia & Ricardo Reis, 2010. "Correlated disturbances and U.S. business cycles," Staff Reports 434, Federal Reserve Bank of New York.
   4. Masuhr Andreas & Trede Mark, 2020. "Bayesian estimation of generalized partition of unity copulas," Dependence Modeling, De Gruyter, vol. 8(1), pages 119-131, January.
   5. Panovska, Irina & Ramamurthy, Srikanth, 2022. "Decomposing the output gap with inflation learning," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
   6. Mariano Kulish & James Morley & Tim Robinson, 2014. "Estimating DSGE models with forward guidance," Discussion Papers 2014-32A, School of Economics, The University of New South Wales.
   7. DUFAYS, Arnaud, 2012. "Infinite-state Markov-switching for dynamic volatility and correlation models," LIDAM Discussion Papers CORE 2012043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   8. Adjemian, Stéphane & Juillard, Michel & Karamé, Fréderic & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2024. "Dynare: Reference Manual, Version 6," Dynare Working Papers 80, CEPREMAP, revised Feb 2025.
   9. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
      • Marco Del Negro & Frank Schorfheide, 2012. "DSGE model-based forecasting," Staff Reports 554, Federal Reserve Bank of New York.
   10. Dube, Arindrajit & Lester, T. William & Reich, Michael, 2011. "Do Frictions Matter in the Labor Market? Accessions, Separations and Minimum Wage Effects," IZA Discussion Papers 5811, Institute of Labor Economics (IZA).
       • Dube, Arindrajit & Lester, T. William & Reich, Michael, 2011. "Do Frictions Matter in the Labor Market? Accessions, Separations, and Minimum Wage Effects," Institute for Research on Labor and Employment, Working Paper Series qt4t3342nd, Institute of Industrial Relations, UC Berkeley.
   11. Iiboshi, Hirokuni & Shintani, Mototsugu, 2016. "Zero interest rate policy and asymmetric price adjustment in Japan: an empirical analysis of a nonlinear DSGE model," MPRA Paper 93868, University Library of Munich, Germany.
   12. Girstmair, Stefan, 2024. "The effect of new housing supply in structural models: a forecasting performance evaluation," Working Paper Series 2895, European Central Bank.
   13. Siddhartha Chib & Srikanth Ramamurthy, 2014. "DSGE Models with Student- t Errors," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 152-171, June.
   14. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
   15. Clément Rey & Serge Rey & Jean-Renaud Viala, 2013. "Detection Of High And Low States In Stock Market Returns With Mcmc Method In A Markov Switching Model," Working Papers hal-02939031, HAL.
       • Clément Rey & Serge Rey & Jean-Renaud Viala, 2014. "Detection of High and Low States in Stock Market Returns with MCMC Method in a Markov Switching Model," Post-Print hal-01880340, HAL.
       • Clément Rey & Serge Rey & Jean-Renaud Viala, 2013. "Detection Of High And Low States In Stock Market Returns With Mcmc Method In A Markov Switching Model," Working papers of CATT hal-02939031, HAL.
       • Rey, Clément & Rey, Serge & Viala, Jean-Renaud, 2014. "Detection of high and low states in stock market returns with MCMC method in a Markov switching model," Economic Modelling, Elsevier, vol. 41(C), pages 145-155.
   16. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
   17. Bekiros, Stelios D. & Paccagnini, Alessia, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 298-323.
       • Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.
   18. Joshua Brault, 2024. "Parallel Tempering for DSGE Estimation," Staff Working Papers 24-13, Bank of Canada.
   19. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.
   20. Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo Sampling for DSGE Models," NBER Working Papers 19152, National Bureau of Economic Research, Inc.
       • Edward P. Herbst & Frank Schorfheide, 2012. "Sequential Monte Carlo sampling for DSGE models," Working Papers 12-27, Federal Reserve Bank of Philadelphia.
       • Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo sampling for DSGE models," Finance and Economics Discussion Series 2013-43, Board of Governors of the Federal Reserve System (U.S.).
       • Edward Herbst & Frank Schorfheide, 2014. "Sequential Monte Carlo Sampling For Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1073-1098, November.
   21. Kim, Dongwhan & Kang, Kyu Ho, 2021. "Conditional value-at-risk forecasts of an optimal foreign currency portfolio," International Journal of Forecasting, Elsevier, vol. 37(2), pages 838-861.
   22. Born, Benjamin & Peifer, Johannes, 2011. "Policy Risk and the Business Cycle," Bonn Econ Discussion Papers 06/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
       • Born, Benjamin & Pfeifer, Johannes, 2014. "Policy risk and the business cycle," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 68-85.
       • Benjamin Born & Johannes Pfeifer, 2013. "Policy Risk and the Business Cycle," CESifo Working Paper Series 4336, CESifo.
   23. Siddhartha Chib & Minchul Shin & Fei Tan, 2020. "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers 20-35, Federal Reserve Bank of Philadelphia.
   24. Li, Bing & Pei, Pei & Tan, Fei, 2021. "Financial distress and fiscal inflation," Journal of Macroeconomics, Elsevier, vol. 70(C).
   25. Martin Burda & John M. Maheu, 2012. "Bayesian Adaptively Updated Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models," Working Paper series 46_12, Rimini Centre for Economic Analysis.
       • Burda Martin & Maheu John M., 2013. "Bayesian adaptively updated Hamiltonian Monte Carlo with an application to high-dimensional BEKK GARCH models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 345-372, September.
   26. Rachael McCririck & Daniel Rees, 2016. "The Slowdown in US Productivity Growth: Breaks and Beliefs," RBA Research Discussion Papers rdp2016-08, Reserve Bank of Australia.
   27. Lin, Yi Chun, 2021. "Business cycle fluctuations in Taiwan — A Bayesian DSGE analysis," Journal of Macroeconomics, Elsevier, vol. 70(C).
   28. Jim Malley & Ulrich Woitek, 2011. "Productivity Shocks and Aggregate Fluctuations in an Estimated Endogenous Growth Model with Human Capital," CESifo Working Paper Series 3567, CESifo.
       • Malley, James & Woitek, Ulrich, 2011. "Productivity shocks and aggregate fluctuations in an estimated endogenous growth model with human capital," SIRE Discussion Papers 2011-71, Scottish Institute for Research in Economics (SIRE).
       • Jim Malley & Ulrich Woitek, 2011. "Productivity shocks and aggregate fluctuations in an estimated endogenous growth model with human capital," Working Papers 2011_20, Business School - Economics, University of Glasgow.
   29. Jesus Fernandez-Villaverde & Juan Rubio-Ramírez & Frank Schorfheide, 2015. "Solution and Estimation Methods for DSGE Models," PIER Working Paper Archive 15-042, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 09 Dec 2015.
       • Jesús Fernández-Villaverde & Juan F. Rubio Ramírez & Frank Schorfheide, 2016. "Solution and Estimation Methods for DSGE Models," NBER Working Papers 21862, National Bureau of Economic Research, Inc.
       • Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
       • Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
   30. Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2013. "Fiscal news and macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2582-2601.
       • Born, Benjamin & Peter, Alexandra & Pfeifer, Johannes, 2011. "Fiscal News and Macroeconomic Volatility," Bonn Econ Discussion Papers 08/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
   31. Wichitaksorn, Nuttanan & Tsurumi, Hiroki, 2013. "Comparison of MCMC algorithms for the estimation of Tobit model with non-normal error: The case of asymmetric Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 226-235.
   32. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
       • Yoosoon Chang & Junior Maih & Fei Tan, 2018. "Origins of Monetary Policy Shifts: A New Approach to Regime Switching in DSGE Models," CAEPR Working Papers 2018-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
   33. Belongia, Michael T. & Ireland, Peter N., 2022. "A reconsideration of money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
       • Michael T. Belongia & Peter N. Ireland, 2019. "A Reconsideration of Money Growth Rules," Boston College Working Papers in Economics 976, Boston College Department of Economics.
   34. Jean-François Carpantier & Arnaud Dufays, 2014. "Specific Markov-switching behaviour for ARMA parameters," Working Papers hal-01821134, HAL.
       • Jean-François Carpantier, 2014. "Specific Markov-switching behaviour for ARMA parameters," DEM Discussion Paper Series 14-07, Department of Economics at the University of Luxembourg.
       • CARPANTIER, Jean-François & DUFAYS, Arnaud, 2014. "Specific Markov-switching behaviour for ARMA parameters," LIDAM Discussion Papers CORE 2014014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
   35. Andreas Masuhr, 2018. "Bayesian Estimation of Generalized Partition of Unity Copulas," CQE Working Papers 7318, Center for Quantitative Economics (CQE), University of Muenster.
   36. Mark Bognanni & Edward P. Herbst, 2014. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Working Papers (Old Series) 1427, Federal Reserve Bank of Cleveland.
       • Mark Bognanni & Edward P. Herbst, 2015. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Finance and Economics Discussion Series 2015-116, Board of Governors of the Federal Reserve System (U.S.).
   37. Ettmeier, Stephanie & Kriwoluzky, Alexander, 2024. "Active or passive? Revisiting the role of fiscal policy during high inflation," European Economic Review, Elsevier, vol. 170(C).
       • Stephanie Ettmeier & Alexander Kriwoluzky, 2024. "Active or Passive? Revisiting the Role of Fiscal Policy During High Inflation," CRC TR 224 Discussion Paper Series crctr224_2024_565, University of Bonn and University of Mannheim, Germany.
   38. 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.
   39. Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Mihoubi, Ferhat & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2022. "Dynare: Reference Manual Version 5," Dynare Working Papers 72, CEPREMAP, revised Mar 2023.
       • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," PSE Working Papers hal-04219920, HAL.
       • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," Working Papers hal-04219920, HAL.
   40. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.
   41. Xin Luo & Håkon Tjelmeland, 2019. "A multiple-try Metropolis–Hastings algorithm with tailored proposals," Computational Statistics, Springer, vol. 34(3), pages 1109-1133, September.
   42. Fiorentini, G. & Planas, C. & Rossi, A., 2012. "The marginal likelihood of dynamic mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2650-2662.
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Chapters

1. Eric Gaus & Srikanth Ramamurthy, 2019. "A New Approach to Modeling Endogenous Gain Learning," Advances in Econometrics, in: Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A, volume 40, pages 203-227, Emerald Group Publishing Limited.

   Cited by:

   1. Gáti, Laura, 2023. "Monetary policy & anchored expectations—An endogenous gain learning model," Journal of Monetary Economics, Elsevier, vol. 140(S), pages 37-47.
      • Gáti, Laura, 2022. "Monetary policy & anchored expectations: an endogenous gain learning model," Working Paper Series 2685, European Central Bank.

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