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Detecting Lack Of Identification In Gmm

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Author Info
Wright, Jonathan H.

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Abstract

This paper proposes a test of the null of underidentification in the nonlinear-in-parameters generalized method of moments model. It can be thought of as a nonlinear analog of the usual linear instrumental variables first-stage F-test. It can be used as a diagnostic to warn a researcher when conventional asymptotic theory is unlikely to work well.I am grateful to Don Andrews, Jon Faust, John Fernald, Jim Stock, and two anonymous referees for their helpful comments on earlier drafts of this manuscript. I am also grateful to George Tauchen for providing me with the code for generating artificial asset price data. All errors are my sole responsibility.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 19 (2003)
Issue (Month): 02 (April)
Pages: 322-330
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Handle: RePEc:cup:etheor:v:19:y:2003:i:02:p:322-330_19

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  1. Fabio Canova & Luca Sala, 2005. "Back to square one: identification issues in DSGE models," Economics Working Papers 927, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2006. [Downloadable!]
    Other versions:
  2. Richard Paap & Frank Kleibergen, 2004. "Generalized Reduced Rank Tests using the Singular Value Decomposition," Econometric Society 2004 Australasian Meetings 195, Econometric Society. [Downloadable!]
    Other versions:
  3. A. Craig Burnside, 2007. "Empirical Asset Pricing and Statistical Power in the Presence of Weak Risk Factors," NBER Working Papers 13357, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: An Identification-Robust Econometric Analysis," Working Papers 05-27, Bank of Canada. [Downloadable!]
    Other versions:
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This page was last updated on 2009-11-24.


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