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Estimation and evaluation of DSGE models: progress and challenges

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  • Frank Schorfheide

Abstract

Estimated dynamic stochastic equilibrium (DSGE) models are now widely used for empirical research in macroeconomics as well as for quantitative policy analysis and forecasting at central banks around the world. This paper reviews recent advances in the estimation and evaluation of DSGE models, discusses current challenges, and provides avenues for future research.

Suggested Citation

  • Frank Schorfheide, 2011. "Estimation and evaluation of DSGE models: progress and challenges," Working Papers 11-7, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:11-7
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    References listed on IDEAS

    as
    1. José-Víctor Ríos-Rull & Frank Schorfheide & Cristina Fuentes-Albero & Raul Santaeulalia-Llopis & Maxym Kryshko, 2009. "Methods versus substance: measuring the effects of technology shocks on hours," Staff Report 433, Federal Reserve Bank of Minneapolis.
    2. Pablo Guerron-Quintana & Atsushi Inoue & Lutz Kilian, 2009. "Frequentist inference in weakly identified DSGE models," Working Papers 09-13, Federal Reserve Bank of Philadelphia.
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    Cited by:

    1. 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.
    2. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Department of Economics, College of William and Mary.
    3. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    4. repec:wyi:journl:002201 is not listed on IDEAS
    5. Frank Schorfheide, 2012. "EconomicDynamics Interviews Frank Schorfheide on DSGE Model Estimation," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 13(2), April.
    6. Massimiliano Marcellino & Yuliya Rychalovska, 2014. "Forecasting with a DSGE Model of a Small Open Economy within the Monetary Union," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(5), pages 315-338, August.
    7. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "How optimal is US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 92(C), pages 96-111.
    8. Andrews, Donald W.K. & Cheng, Xu, 2014. "Gmm Estimation And Uniform Subvector Inference With Possible Identification Failure," Econometric Theory, Cambridge University Press, vol. 30(02), pages 287-333, April.
    9. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, Elsevier.
    10. Damodaran, Nikhil, 2016. "Export Subsidies and Interdependence in Euro Union: Beggar Thy Neighbor?," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235701, Agricultural and Applied Economics Association.
    11. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2017. "A Monte Carlo procedure for checking identification in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 202-210.
    12. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    13. Pesaran, M. Hashem & Smith, Ron P., 2011. "Beyond the DSGE Straitjacket," IZA Discussion Papers 5661, Institute for the Study of Labor (IZA).
    14. Nikhil Patel, 2016. "International Trade Finance and the Cost Channel of Monetary Policy in Open Economies," BIS Working Papers 539, Bank for International Settlements.
    15. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01222798, HAL.
    16. Zhongjun Qu & Denis Tkachenko, 2011. "Frequency Domain Analysis of Medium Scale DSGE Models with Application to Smets and Wouters (2007)," Boston University - Department of Economics - Working Papers Series WP2011-060, Boston University - Department of Economics.
    17. Gunnar BÃ¥rdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    18. Luca Barone, 2013. "An ABM for Economics: Micro Explains Macro," Working papers 016, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    19. Minford, Lucy & Meenagh, David, 2018. "Supply-side policy and economic growth: A case study of the UK," Cardiff Economics Working Papers E2018/10, Cardiff University, Cardiff Business School, Economics Section.
    20. Michael Wickens, 2015. "How Did We Get to Where We Are Now? Reflections on 50 Years of Macroeconomic and Financial Econometrics," Manchester School, University of Manchester, vol. 83, pages 60-82, December.
    21. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Documents de travail du Centre d'Economie de la Sorbonne 15066, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    22. Wong, Chin-Yoong & Eng, Yoke-Kee, 2013. "International business cycle co-movement and vertical specialization reconsidered in multistage Bayesian DSGE model," International Review of Economics & Finance, Elsevier, vol. 26(C), pages 109-124.
    23. Varang Wiriyawit, 2014. "Trend Mis-specifications and Estimated Policy Implications in DSGE Models," ANU Working Papers in Economics and Econometrics 2014-615, Australian National University, College of Business and Economics, School of Economics.
    24. repec:bpj:bejmac:v:17:y:2017:i:2:p:9:n:1 is not listed on IDEAS

    More about this item

    Keywords

    Econometric models ; Stochastic analysis;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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