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DSGE Models and the Lucas critique

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  • Samuel Hurtado

    (Banco de España)

Abstract

Modern DSGE models are microfounded and have deep parameters that should be invariant to changes in economic policy, so in principle they are not subject to the Lucas critique. But the literature has already established that misspecification issues also cause parameter instability after policy changes in DSGE models. This paper will look at the implications of parameter shifts for econometric policy evaluation, to see whether policy advice derived from DSGE models would have differed fundamentally from that which the policymakers of the 1970s derived from their reduced-form Phillips curves. The results show drift in most parameters, including those that are supposedly structural (such as the share of capital in production, habits or the elasticity of labor supply to the real wage), and major shifts in the impulse response functions derived from the real-time estimation of the model. After the expansionary monetary shocks of the early 1970s, a standard DSGE model would have behaved very similarly to an old-style Phillips curve, with marked shifts in parameter values and impulse response functions.

Suggested Citation

  • Samuel Hurtado, 2013. "DSGE Models and the Lucas critique," Working Papers 1310, Banco de España.
  • Handle: RePEc:bde:wpaper:1310
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    References listed on IDEAS

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    1. Jürgen Jerger & Oke Röhe, 2014. "Testing for parameter stability in DSGE models. The cases of France, Germany, Italy, and Spain," International Economics and Economic Policy, Springer, vol. 11(3), pages 329-351, September.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The Lucas Critique, DSGE models and the Phillips Curve
      by Economic Logician in Economic Logic on 2013-09-26 19:34:00

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    Cited by:

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    4. Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2019. "Forecasting with instabilities: An application to DSGE models with financial frictions," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    5. Agénor, Pierre-Richard & Pereira da Silva, Luiz A., 2014. "Macroprudential regulation and the monetary transmission mechanism," Journal of Financial Stability, Elsevier, vol. 13(C), pages 44-63.
    6. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    7. Casares, Miguel & Khan, Hashmat & Poutineau, Jean-Christophe, 2020. "The extensive margin and US aggregate fluctuations: A quantitative assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    8. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    9. Pápai Adam, 2017. "A DSGE Model of Slovakia with Frictional Labor Market and Monetary Regime Switch," Review of Economic Perspectives, Sciendo, vol. 17(3), pages 287-313, September.
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    11. 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.
    12. Aguirre, Idoia & Vázquez, Jesús, 2020. "Learning, parameter variability, and swings in US macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 66(C).
    13. Francisco Louçã & Alexandre Abreu & Gonçalo Pessa Costa, 2021. "Disarray at the headquarters: Economists and Central bankers tested by the subprime and the COVID recessions [Forward guidance without common knowledge]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 273-296.
    14. Chatterjee, Sidharta, 2014. "Equilibrium Models of Macroeconomic Science: What to Look For in (DSGE) Models?," MPRA Paper 53893, University Library of Munich, Germany.
    15. Yagihashi, Takeshi, 2018. "How costly is a misspecified credit channel DSGE model in monetary policymaking?," Economic Modelling, Elsevier, vol. 68(C), pages 484-505.
    16. Andersson, Fredrik N.G., 2018. "Estimates of the Inflation Effect of a Global Carbon Price on Consumer, Investment, Export, and Import Prices," Working Papers 2018:22, Lund University, Department of Economics.
    17. Francesco Sergi, 2015. "L'histoire (faussement) naïve des modèles DSGE," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01222798, HAL.

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    More about this item

    Keywords

    Macroeconomics; DSGE; Lucas Critique;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

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