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Dynamic equilibrium economies: a framework for comparing models and data

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  • Francis X. Diebold
  • Lee E. Ohanian
  • Jeremy Berkowitz

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.

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Bibliographic Info

Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 1997-23.

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Date of creation: 1997
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Handle: RePEc:fip:fedgfe:1997-23

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Keywords: Econometric models;

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