Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure
Donald Andrews () and
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Panle Jia: MIT
Authors registered in the RePEc Author Service: Panle Jia Barwick ()
No 1676, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
This paper is concerned with tests and confidence intervals for partially-identified parameters that are defined by moment inequalities and equalities. In the literature, different test statistics, critical value methods, and implementation methods (i.e., asymptotic distribution versus the bootstrap) have been proposed. In this paper, we compare a wide variety of these methods. We provide a recommended test statistic, moment selection critical value method, and implementation method. In addition, we provide a data-dependent procedure for choosing the key moment selection tuning parameter and a data-dependent size-correction factor.
Keywords: Asymptotic size; Asymptotic power; Confidence set; Exact size; Generalized moment selection; Moment inequalities; Partial identification; Refined moment selection; Test (search for similar items in EconPapers)
JEL-codes: C12 C15 (search for similar items in EconPapers)
Pages: 81 pages
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Journal Article: Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure (2012)
Working Paper: Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure (2011)
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