Testing for non-nested conditional moment restrictions using unconditional empirical likelihood

Taisuke Otsu, Myung Hwan Seo, Yoon Jae Whang

研究成果: Article査読

3 被引用数 (Scopus)

抄録

We propose non-nested hypothesis tests for conditional moment restriction models based on the method of generalized empirical likelihood (GEL). By utilizing the implied GEL probabilities from a sequence of unconditional moment restrictions that contains equivalent information of the conditional moment restrictions, we construct KolmogorovSmirnov and Cramrvon Mises type moment encompassing tests. Advantages of our tests over Otsu and Whang's (2011) tests are: (i) they are free from smoothing parameters, (ii) they can be applied to weakly dependent data, and (iii) they allow non-smooth moment functions. We derive the null distributions, validity of a bootstrap procedure, and local and global power properties of our tests. The simulation results show that our tests have reasonable size and power performance in finite samples.

本文言語English
ページ(範囲)370-382
ページ数13
ジャーナルJournal of Econometrics
167
2
DOI
出版ステータスPublished - 2012 4
外部発表はい

ASJC Scopus subject areas

  • Economics and Econometrics

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