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Un regard bayésien sur les modèles dynamiques de la macroéconomie

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  • Florian Pelgrin
  • Stéphane Adjemian

Abstract

[eng] Our article describes the Bayesian approach to the most highly regarded dynamic models in macroeconomics : DSGE (dynamic stochastic general-equilibrium) models and VAR (vector autoregressive) models. We present the main concepts in Bayesian analysis and show how to apply them to VAR models. We then explore the specific features of the Bayesian approach to DSGE models. Unlike VAR models, DSGE models cannot provide an analytical expression of the posterioi distribution. To overcome this difficulty we must resort to Monte-Carlo methods, whose main features we describe. Lastly , to underscore how sterile the VAR / DSGE opposition is, we describe a recent approach that combines the best aspects of both models. [fre] L’objet de cet article est de présenter l’approche bayésienne des modèles dynamiques les plus considérés en macroéconomie : les modèles DSGE (Dynamic Stochastic General Equilibrium ) et les modèles VAR. Nous présentons les principaux concepts de l’analyse bayésienne et montrons comment les appliquer dans le cadre des modèles VAR. Nous abordons ensuite les spécificités de l’approche bayésienne des modèles DSGE. Contrairement aux modèles VAR, il n’est plus possible d’obtenir une expression analytique de la distribution a posteriori. Pour pallier cette difficulté il est nécessaire de recourir à des méthodes de Monte-Carlo dont nous décrivons les principales techniques. Enfin, afin de souligner la nature stérile de l'opposition entre ces deux types de modélisation, nous terminons en présentant une approche récente permettant de combiner le meilleur des approches VAR et DSGE.

Suggested Citation

  • Florian Pelgrin & Stéphane Adjemian, 2008. "Un regard bayésien sur les modèles dynamiques de la macroéconomie," Économie et Prévision, Programme National Persée, vol. 183(2), pages 127-152.
  • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2008_num_183_2_7810
    DOI: 10.3406/ecop.2008.7810
    Note: DOI:10.3406/ecop.2008.7810
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    3. Tsasa Vangu, Jean-Paul Kimbambu, 2014. "Diagnostic de la politique monétaire en Rép. Dém. Congo – Approche par l’Equilibre Général Dynamique Stochastique," Dynare Working Papers 38, CEPREMAP.
    4. Dorra TURKI & Foued Badr GABSI, 2023. "Uncertainty and monetary policy during the Covid-19 pandemic in Tunisia: Evidence from a Bayesian VAR," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(634), S), pages 177-188, Spring.
    5. Matthieu Lemoine & Harri Turunen & Mohammed Chahad & Antoine Lepetit & Anastasia Zhutova & Pierre Aldama & Pierrick Clerc & Jean-Pierre Laffargue, 2019. "The FR-BDF Model and an Assessment of Monetary Policy Transmission in France," Working papers 736, Banque de France.

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