This chapter highlights the problems that structural methods and SVAR approaches have when estimating DSGE models and examining their ability to capture important features of the data. We show that structural methods are subject to severe identification problems due, in large part, to the nature of DSGE models. The problems can be patched up in a number of ways, but solved only if DSGEs are completely reparametrized or respecified. The potential misspecification of the structural relationships give Bayesian methods an hedge over classical ones in structural estimation. SVAR approaches may face invertibility problems but simple diagnostics can help to detect and remedy these problems. A pragmatic empirical approach ought to use the flexibility of SVARs against potential misspecification of the structural relationships but must firmly tie SVARs to the class of DSGE models which could have have generated the data.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
6791.
Find related papers by JEL classification: C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
This paper has been announced in the following NEP Reports:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Sims, Christopher A, 1980.
"Macroeconomics and Reality,"
Econometrica,
Econometric Society, vol. 48(1), pages 1-48, January.
[Downloadable!] (restricted)
V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2007.
"Business Cycle Accounting,"
Econometrica,
Econometric Society, vol. 75(3), pages 781-836, 05.
[Downloadable!] (restricted)
Other versions:
V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2006.
"Business cycle accounting,"
Staff Report
328, Federal Reserve Bank of Minneapolis.
[Downloadable!]
V.V. Chari & Patrick J. Kehoe & Ellen McGrattan, 2004.
"Business Cycle Accounting,"
NBER Working Papers
10351, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Marco Del Negro & Frank Schorfheide, 2004.
"Priors from General Equilibrium Models for VARS,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, 05.
[Downloadable!] (restricted)
Other versions:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)