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Generalized empirical likelihood non-nested tests

delete2002-03-01
delete22
PRE
AI
J
Joaquim J.S. Ramalho
R
Richard J. Smith *
DOI:10.1016/S0304-4076(01)00115-4delete
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Abstract

Abstract

En 中文
This paper examines non-nested tests for competing moment condition models using a semi-parametric generalized empirical likelihood (GEL) framework. The resultant GEL estimators are first order asymptotically equivalent to those based on generalized method of moments (GMM). Cox-type, moment encompassing and parametric encompassing non-nested tests for competing moment condition models are proposed. Simulation experiments are conducted to examine the efficacy of the proposed GEL statistics in terms of their size and power properties and to compare their properties with those of corresponding non-nested test statistics based on GMM estimation. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
empirical likelihood
GMM
Cox-type tests
moment encompassing tests
parametric encompassing tests
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Journal

Journal of Econometrics cover
Journal of Econometrics
IF:
4
Papers:
5.2K
Citations:
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