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Dynamic Equilibrium Economies: A Framework for Comparing Models and Data


Jeremy Berkowitz


University of Houston - Department of Finance

Francis X. Diebold


University of Pennsylvania - Department of Economics; National Bureau of Economic Research (NBER)

Lee E. Ohanian


University of California, Los Angeles (UCLA) - Department of Economics; National Bureau of Economic Research (NBER)

April 24, 1997

FEDS PAPER NUMBER: (97-23)

Abstract:     
We propose a constructive, multivariate framework for assessing agreement between (generally misspecified) dynamic equilibrium models and data, which enables a complete second-order comparison of the dynamic properties of models and data. We use bootstrap algorithms to evaluate the significance of deviations between models and data, and we use goodness-of-fit criteria to produce estimators that optimize economically-relevant loss functions. We provide a detailed illustrative application to modeling the U.S. cattle cycle.

Number of Pages in PDF File: 32

JEL Classification: C14, C22, C52

working papers series


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Date posted: July 28, 1997  

Suggested Citation

Berkowitz, Jeremy, Diebold, Francis X. and Ohanian, Lee E., Dynamic Equilibrium Economies: A Framework for Comparing Models and Data (April 24, 1997). FEDS PAPER NUMBER: (97-23). Available at SSRN: http://ssrn.com/abstract=15001 or http://dx.doi.org/10.2139/ssrn.15001

Contact Information

Jeremy Berkowitz (Contact Author)
University of Houston - Department of Finance ( email )
Houston, TX 77204
United States
Francis X. Diebold
University of Pennsylvania - Department of Economics ( email )
3718 Locust Walk
Philadelphia, PA 19104
United States
215-898-1507 (Phone)
215-573-4217 (Fax)
HOME PAGE: http://www.ssc.upenn.edu/~fdiebold/
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Lee E. Ohanian
University of California, Los Angeles (UCLA) - Department of Economics ( email )
Box 951477
8283 Bunch Hall
Los Angeles, CA 90095-1477
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


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