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Likelihood Ratio Specification Tests

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Author Info

  • Andrew Chesher
  • Richard J. Smith

Abstract

Moment based tests for mispecification of parametric models (e.g., of mean equals variance in a Poisson model) are studied. The moment restrictions under test are embedded in an extension of the model so that the moment test is a score test of the hypothesis that a vector of added parameters is zero. Second-order asymptotic properties of the likelihood ratio version of this test are studied. Unlike the conventional test, the likelihood ratio version is Bartlett correctable. The correction depends on the curvature at the origin of the function used to incorporate the moment restriction in the extended model.

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Bibliographic Info

Article provided by Econometric Society in its journal Econometrica.

Volume (Year): 65 (1997)
Issue (Month): 3 (May)
Pages: 627-646

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Handle: RePEc:ecm:emetrp:v:65:y:1997:i:3:p:627-646

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Cited by:
  1. Elena Andreou & Bas J. M. Werker, 2012. "An Alternative Asymptotic Analysis of Residual-Based Statistics," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 88-99, February.
  2. Smith, Richard J., 2011. "Gel Criteria For Moment Condition Models," Econometric Theory, Cambridge University Press, vol. 27(06), pages 1192-1235, December.
  3. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
  4. Guido W. Imbens & Phillip Johnson & Richard H. Spady, 1995. "Information Theoretic Approaches to Inference in Moment Condition Models," NBER Technical Working Papers 0186, National Bureau of Economic Research, Inc.
  5. Andrew Chesher & Geert Dhaene & Christian Gourieroux & Olivier Scaillet, 1999. "Bartlett Identities Tests," Working Papers 99-32, Centre de Recherche en Economie et Statistique.
  6. Chesher, Andrew & Dumangane, Montezuma & Smith, Richard J., 2002. "Duration response measurement error," Journal of Econometrics, Elsevier, vol. 111(2), pages 169-194, December.
  7. Christian Bontemps & Nour Meddahi, 2012. "Testing distributional assumptions: A GMM aproach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 978-1012, 09.
  8. Ramalho, Joaquim J. S. & Smith, Richard J., 2002. "Generalized empirical likelihood non-nested tests," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 99-125, March.

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