Ensuring the Validity of the Micro Foundation in DSGE Models

CREATES Research Paper 2008-26

45 Pages Posted: 25 Jun 2008

See all articles by Martin M. Andreasen

Martin M. Andreasen

Aarhus University; CREATES, Aarhus University

Multiple version iconThere are 2 versions of this paper

Date Written: May 26, 2008


The presence of i) stochastic trends, ii) deterministic trends, and/or iii) stochastic volatility in DSGE models may imply that the agents' objective functions attain infinite values. We say that such models do not have a valid micro foundation. The paper derives sufficient conditions which ensure that the objective functions of the households and the firms are finite even when various trends and stochastic volatility are included in a standard DSGE model. Based on these conditions we test the validity of the micro foundation in six DSGE models from the literature. The models of Justiniano & Primiceri (American Economic Review, forthcoming) and Fernández-Villaverde & Rubio-Ramírez (Review of Economic Studies, 2007) do not satisfy these sufficient conditions, or any other known set of conditions ensuring finite values for the objective functions. Thus, the validity of the micro foundation in these models remains to be established.

Keywords: Deterministic trends, DSGE models, Error distributions, Moment generating functions, Stochastic trends, Stochastic volatility, Unit-roots

JEL Classification: E10, E30

Suggested Citation

Andreasen, Martin M., Ensuring the Validity of the Micro Foundation in DSGE Models (May 26, 2008). CREATES Research Paper 2008-26, Available at SSRN: https://ssrn.com/abstract=1148182 or http://dx.doi.org/10.2139/ssrn.1148182

Martin M. Andreasen (Contact Author)

Aarhus University ( email )


CREATES, Aarhus University ( email )

School of Economics and Management
Building 1322, Bartholins Alle 10
DK-8000 Aarhus C

HOME PAGE: http://econ.au.dk/research/research-centres/creates/people/junior-fellows/martin-andreasen/

Here is the Coronavirus
related research on SSRN

Paper statistics

Abstract Views
PlumX Metrics