Testing Non-Nested Euler Conditions with Quadrature-Based Methods of Approximation
AbstractIn 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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Bibliographic InfoPaper provided by Universite de Montreal, Departement de sciences economiques in its series Cahiers de recherche with number 8703.
Length: 30P. pages
Date of creation: 1987
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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.
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- Vadim Marmer & Taisuke Otsu, 2009.
"Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit,"
Cowles Foundation Discussion Papers
1724, Cowles Foundation for Research in Economics, Yale University, revised Jul 2011.
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- Taisuke Otsu & Myung Hwan Seo & Yoon-Jae Whang, 2008. "Testing for Non-Nested Conditional Moment Restrictions Using Unconditional Empirical Likelihood," Cowles Foundation Discussion Papers 1660, Cowles Foundation for Research in Economics, Yale University.
- Otsu, Taisuke & Whang, Yoon-Jae, 2011.
"Testing For Nonnested Conditional Moment Restrictions Via Conditional Empirical Likelihood,"
Cambridge University Press, vol. 27(01), pages 114-153, February.
- Taisuke Otsu & Yoon-Jae Whang, 2005. "Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood," Cowles Foundation Discussion Papers 1533, Cowles Foundation for Research in Economics, Yale University.
- 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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