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Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure
Authors:Donald W. K. Andrews  Panle Jia Barwick
Abstract:
This paper is concerned with tests and confidence intervals for parameters that are not necessarily point identified and are defined by moment inequalities. In the literature, different test statistics, critical‐value methods, and implementation methods (i.e., the asymptotic distribution versus the bootstrap) have been proposed. In this paper, we compare these methods. We provide a recommended test statistic, moment selection critical value, and implementation method. We provide data‐dependent procedures for choosing the key moment selection tuning parameter κ and a size‐correction factor η.
Keywords:Asymptotic size  asymptotic power  bootstrap  confidence set  generalized moment selection  moment inequalities  partial identification  refined moment selection  test  unidentified parameter
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