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Testing nonnested Euler conditions with quadrature-based methods of approximation

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  • Ghysels, Eric
  • Hall, Alastair

Abstract

In This Paper We Present a Test for Discriminating Between Two Non-Nested Sets of Euler Conditions Which Have Been Estimated Using Gmm. the Test Is Based on the Encompassing Principle of Mizon and Richard (1986), and Uses Tauchen's (1986) Quadrature-Based Methods for Approximating the Expectation of Nonlinear Functions of Stationary Random Variables. the Test Is Compared to the Procedure Suggested by Singleton (1986).
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  • Ghysels, Eric & Hall, Alastair, 1990. "Testing nonnested Euler conditions with quadrature-based methods of approximation," Journal of Econometrics, Elsevier, vol. 46(3), pages 273-308, December.
    • Handle: RePEc:eee:econom:v:46:y:1990:i:3:p:273-308
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    Cited by:

    1. Marmer, Vadim & Otsu, Taisuke, 2012. "Optimal comparison of misspecified moment restriction models under a chosen measure of fit," Journal of Econometrics, Elsevier, vol. 170(2), pages 538-550.
    2. Otsu, Taisuke & Seo, Myung Hwan & Whang, Yoon-Jae, 2012. "Testing for non-nested conditional moment restrictions using unconditional empirical likelihood," Journal of Econometrics, Elsevier, vol. 167(2), pages 370-382.
    3. Otsu, Taisuke & Whang, Yoon-Jae, 2011. "Testing For Nonnested Conditional Moment Restrictions Via Conditional Empirical Likelihood," Econometric Theory, Cambridge University Press, vol. 27(1), pages 114-153, February.
    4. 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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