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Estimating DSGE Models: Recent Advances and Future Challenges

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  • Fernández-Villaverde, Jesús
  • Guerron-Quintana, Pablo A.

Abstract

We review the current state of the estimation of DSGE models. After introducing a general framework for dealing with DSGE models, the state-space representation, we discuss how to evaluate moments or the likelihood function implied by such a structure. We discuss, in varying degrees of detail, recent advances in the field, such as the tempered particle filter, approximated Bayesian computation, the Hamiltonian Monte Carlo, variational inference, and machine learning, methods that show much promise, but that have not been fully explored yet by the DSGE community. We conclude by outlining three future challenges for this line of research.

Suggested Citation

  • Fernández-Villaverde, Jesús & Guerron-Quintana, Pablo A., 2020. "Estimating DSGE Models: Recent Advances and Future Challenges," CEPR Discussion Papers 15164, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:15164
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    Cited by:

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      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Farkas, Mátyás & Tatar, Balint, 2020. "Bayesian estimation of DSGE models with Hamiltonian Monte Carlo," IMFS Working Paper Series 144, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    4. Barrie, Mohamed Samba & Jackson, Emerson Abraham, 2022. "Impact of Technological Shock on the Sierra Leone Economy: A Dynamic Stochastic General Equilibrium (DSGE) Approach," MPRA Paper 113636, University Library of Munich, Germany, revised 10 Jun 2022.

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    More about this item

    Keywords

    Dsge models; Estimation; Bayesian methods; Mcmc; Variational inference;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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