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Small sample properties of GMM for business cycle analysis

  • Lawrence J. Christiano
  • Wouter den Haan

The authors investigate, by Monte Carlo methods, the finite sample properties of generalized method of moments procedures for conducting inference about statistics that are of interest in the business cycle literature. These statistics include the second moments of data filtered using the first difference and Hodrick-Prescott filters, and they include statistics for evaluating model fit. The authors' results indicate that, for the procedures considered, the existing asymptotic theory is not a good guide in a sample the size of quarterly postwar U.S. data.

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Paper provided by Federal Reserve Bank of Chicago in its series Working Paper Series, Macroeconomic Issues with number 95-3.

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Date of creation: 1995
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Handle: RePEc:fip:fedhma:95-3
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