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Dynamic equilibrium economies: a framework for comparing models and data Author info | Abstract | Publisher info | Download info | Related research | Statistics Francis X. Diebold
Lee E. Ohanian
Jeremy Berkowitz
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We propose a constructive, multivariate framework for assessing agreement between (generally misspecified) dynamic equilibrium models and data, a framework 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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Paper provided by Federal Reserve Bank of Minneapolis in its series Staff Report with number
243.
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Date of creation: 1998Date of revision:
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Article Paper Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1997.
"Dynamic equilibrium economies: a framework for comparing models and data ,"
Working Papers
97-7, Federal Reserve Bank of Philadelphia.
[Downloadable!] Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1997.
"Dynamic equilibrium economies: a framework for comparing models and data ,"
Finance and Economics Discussion Series
1997-23, Board of Governors of the Federal Reserve System (U.S.).
[Downloadable!] Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1995.
"Dynamic Equilibrium Economies: A Framework for Comparing Models and Data ,"
NBER Technical Working Papers
0174, National Bureau of Economic Research, Inc.
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"On bootstrapping Kernel spectral estimates ,"
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"Long-Run Implications of Investment-Specific Technological Change ,"
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"Long-Run Implications of Investment-Specific Technological Change ,"
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420, University of Rochester - Center for Economic Research (RCER).
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