Scientific journal paper Q1
Generalized empirical likelihood non-nested tests
Joaquim Ramalho (Ramalho, J. J. S.); Richard J. Smith (Smith, R. J.);
Journal Title
Journal of Econometrics
Year (definitive publication)
2002
Language
English
Country
Switzerland
More Information
Web of Science®

Times Cited: 22

(Last checked: 2024-11-21 05:51)

View record in Web of Science®


: 0.4
Scopus

Times Cited: 20

(Last checked: 2024-11-18 02:45)

View record in Scopus


: 0.4
Google Scholar

Times Cited: 36

(Last checked: 2024-11-18 13:32)

View record in Google Scholar

Abstract
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.
Acknowledgements
--
Keywords
Empirical likelihood,GMM,Cox-type tests,Moment encompassing tests,Parametric encompassing tests
  • Mathematics - Natural Sciences
  • Economics and Business - Social Sciences
  • Sociology - Social Sciences