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What you match does matter: the effects of data on DSGE estimation

Citations

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Cited by:

  1. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
  2. Takashi Kano & James M. Nason, 2014. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 519-544, March.
  3. Patrick Fève & Jean‐Guillaume Sahuc, 2017. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 704-718, April.
  4. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
  5. Matus Senaj & Milan Vyskrabka & Juraj Zeman, 2010. "MUSE: Monetary Union and Slovak Economy model," Working and Discussion Papers WP 1/2010, Research Department, National Bank of Slovakia.
  6. Yongquan Cao & Grey Gordon, 2019. "A Practical Approach to Testing Calibration Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1165-1182, March.
  7. Atkinson, Tyler & Richter, Alexander W. & Throckmorton, Nathaniel A., 2020. "The zero lower bound and estimation accuracy," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 249-264.
  8. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
  9. Pablo A. Guerron-Quintana & Ryo Jinnai, 2013. "Liquidity, Trends and the Great Recession," UTokyo Price Project Working Paper Series 015, University of Tokyo, Graduate School of Economics.
  10. Thorsten Drautzburg, 2020. "A narrative approach to a fiscal DSGE model," Quantitative Economics, Econometric Society, vol. 11(2), pages 801-837, May.
  11. Fabio Canova & Christian Matthes, 2021. "A Composite Likelihood Approach for Dynamic Structural Models," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2447-2477.
  12. Gary Koop & M. Hashem Pesaran & Ron P. Smith, 2013. "On Identification of Bayesian DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 300-314, July.
  13. Sheen, Jeffrey & Wang, Ben Zhe, 2016. "Assessing labor market frictions in a small open economy," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 231-251.
  14. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Ratto, Marco, 2019. "Identification versus misspecification in New Keynesian monetary policy models," European Economic Review, Elsevier, vol. 113(C), pages 225-246.
  15. Maik H. Wolters, 2018. "How the baby boomers' retirement wave distorts model‐based output gap estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 680-689, August.
  16. Zhongjun Qu, 2018. "A Composite Likelihood Framework for Analyzing Singular DSGE Models," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 916-932, December.
  17. Marcin Kolasa & MichaŁ Rubaszek & PaweŁ SkrzypczyŃski, 2012. "Putting the New Keynesian DSGE Model to the Real-Time Forecasting Test," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1301-1324, October.
  18. Hall, Jamie & Pitt, Michael K. & Kohn, Robert, 2014. "Bayesian inference for nonlinear structural time series models," Journal of Econometrics, Elsevier, vol. 179(2), pages 99-111.
  19. Giorgio Motta & Patrizio Tirelli, 2012. "Optimal Simple Monetary and Fiscal Rules under Limited Asset Market Participation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1351-1374, October.
  20. Enrique Martínez-García & Mark A. Wynne, 2014. "Assessing Bayesian Model Comparison in Small Samples," Advances in Econometrics, in: Bayesian Model Comparison, volume 34, pages 71-115, Emerald Group Publishing Limited.
  21. Luca Sala, 2015. "Dsge Models in the Frequency Domains," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(2), pages 219-240, March.
  22. Fabio Canova & Filippo Ferroni & Christian Matthes, 2014. "Choosing The Variables To Estimate Singular Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1099-1117, November.
  23. Lahcen, Mohammed Ait, 2014. "DSGE models for developing economies: an application to Morocco," MPRA Paper 63404, University Library of Munich, Germany.
  24. Martin Fukaè & Vladimír Havlena, 2011. "A Note on the Role of the Natural Condition of Control in the Estimation of DSGE Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 453-466, November.
  25. Alok Johri & Muhebullah Karimzada, 2021. "Learning efficiency shocks, knowledge capital and the business cycle: A Bayesian evaluation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(3), pages 1314-1360, November.
  26. Adolfson, Malin & Lindé, Jesper, 2011. "Parameter Identification in a Estimated New Keynesian Open Economy Model," Working Paper Series 251, Sveriges Riksbank (Central Bank of Sweden).
  27. Zhongjun Qu & Fan Zhuo, 2021. "Likelihood Ratio-Based Tests for Markov Regime Switching," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 937-968.
  28. Adrian Pagan & Tim Robinson, 2019. "Implications of Partial Information for Applied Macroeconomic Modelling," Melbourne Institute Working Paper Series wp2019n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  29. Enrique Martínez-García & Diego Vilán & Mark A. Wynne, 2012. "Bayesian Estimation of NOEM Models: Identification and Inference in Small Samples," Advances in Econometrics, in: DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments, pages 137-199, Emerald Group Publishing Limited.
  30. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
  31. Hikaru Saijo, 2013. "The Uncertainty Multiplier and Business Cycles," UTokyo Price Project Working Paper Series 016, University of Tokyo, Graduate School of Economics.
  32. Enrique Martínez-García, 2015. "The Global Component of Local Inflation: Revisiting the Empirical Content of the Global Slack Hypothesis with Bayesian Methods," International Symposia in Economic Theory and Econometrics, in: Monetary Policy in the Context of the Financial Crisis: New Challenges and Lessons, volume 24, pages 51-112, Emerald Group Publishing Limited.
  33. Ivashchenko, Sergey & Mutschler, Willi, 2020. "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models," Economic Modelling, Elsevier, vol. 88(C), pages 280-292.
  34. Taisuke Nakata, 2017. "Uncertainty at the Zero Lower Bound," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 186-221, July.
  35. Pablo A. Guerron‐Quintana & Ryo Jinnai, 2019. "Financial frictions, trends, and the great recession," Quantitative Economics, Econometric Society, vol. 10(2), pages 735-773, May.
  36. Nwaobi, Godwin, 2012. "Monetary Policies and Nigerian Economy:Simulations from Dynamic Stochastic General Equilibrium(DSGE)Model," MPRA Paper 38167, University Library of Munich, Germany.
  37. Kim, Kwang Hwan & Katayama, Munechika, 2013. "Non-separability and sectoral comovement in a sticky price model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1715-1735.
  38. Sacha Gelfer, 2019. "Data-Rich DSGE Model Forecasts of the Great Recession and its Recovery," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 18-41, April.
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