Dealing with Misspecification in DSGE Models: A Survey

41 Pages Posted: 11 Dec 2017

See all articles by Alessia Paccagnini

Alessia Paccagnini

University College Dublin (UCD) - Michael Smurfit Graduate School of Business; Australian National University (ANU) - Crawford School of Public Policy

Date Written: December 6, 2017

Abstract

Dynamic Stochastic General Equilibrium (DSGE) models are the main tool used in Academia and in Central Banks to evaluate the business cycle for policy and forecasting analyses. Despite the recent advances in improving the fit of DSGE models to the data, the misspecification issue still remains. The aim of this survey is to shed light on the different forms of misspecification in DSGE modeling and how the researcher can identify the sources. In addition, some remedies to face with misspecification are discussed.

Keywords: DSGE Models, Misspecification, Estimation, Bayesian Estimation

JEL Classification: C11, C15, C32

Suggested Citation

Paccagnini, Alessia, Dealing with Misspecification in DSGE Models: A Survey (December 6, 2017). Available at SSRN: https://ssrn.com/abstract=3083615 or http://dx.doi.org/10.2139/ssrn.3083615

Alessia Paccagnini (Contact Author)

University College Dublin (UCD) - Michael Smurfit Graduate School of Business ( email )

Blackrock, Co. Dublin
Ireland

Australian National University (ANU) - Crawford School of Public Policy ( email )

ANU College of Asia and the Pacific
J.G. Crawford Building, #132, Lennox Crossing
Canberra, Australian Capital Territory 0200
Australia

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