On the statistical identification of DSGE models

Abstract: Dynamic Stochastic General Equilibrium (DSGE) models are now considered attractive by the profession not only from the theoretical perspective but also from an empirical standpoint. As a consequence of this development, methods for diagnosing the fit of these models are being proposed and implemented. In this article we illustrate how the concept of statistical identification, that was introduced and used by Spanos [Spanos, Aris, 1990. The simultaneous-equations model revisited: Statistical adequacy and identification. Journal of Econometrics 44, 87–105] to criticize traditional evaluation methods of Cowles Commission models, could be relevant for DSGE models. We conclude that the recently proposed model evaluation method, based on the DSGE−VAR(λ), might not satisfy the condition for statistical identification. However, our application also shows that the adoption of a FAVAR as a statistically identified benchmark leaves unaltered the support of the data for the DSGE model and that

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
Postprint
begutachtet (peer reviewed)
In: Journal of Econometrics ; 150 (2009) 1 ; 99-115

Klassifikation
Wirtschaft

Ereignis
Veröffentlichung
(wo)
Mannheim
(wann)
2009
Urheber
Consolo, Agostino
Favero, Carlo A.
Paccagnini, Alessia

DOI
10.1016/j.jeconom.2009.02.012
URN
urn:nbn:de:0168-ssoar-233513
Rechteinformation
Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:44 MEZ

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  • 2009

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