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Testing Non-Nested Euler Conditions with Quadrature-Based Methods of Approximation

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  • Ghysels, E.
  • Hall, A.

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).

Suggested Citation

  • Ghysels, E. & Hall, A., 1987. "Testing Non-Nested Euler Conditions with Quadrature-Based Methods of Approximation," Cahiers de recherche 8703, Universite de Montreal, Departement de sciences economiques.
    • Handle: RePEc:mtl:montde:8703
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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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    Keywords

    Linear Models ; Exctations;

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