Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection

被引:220
作者
Andrews, Donald W. K. [1 ]
Soares, Gustavo [1 ]
机构
[1] Yale Univ, Dept Econ, Cowles Fdn Res Econ, New Haven, CT 06520 USA
基金
美国国家科学基金会;
关键词
Asymptotic size; asymptotic power; confidence set; exact size; generalized moment selection; m out of n bootstrap; subsampling; moment inequalities; moment selection; test; PARTIALLY IDENTIFIED PARAMETERS; CONFIDENCE-INTERVALS; ECONOMETRIC-MODELS; BOOTSTRAP; BOUNDARY; SETS;
D O I
10.3982/ECTA7502
中图分类号
F [经济];
学科分类号
02 ;
摘要
The power of GMS tests is compared to that of subsampling, m out of n bootstrap, and "plug-in asymptotic" (PA) tests. The latter three procedures are the only general procedures in the literature that have been shown to have correct asymptotic size (in a uniform sense) for the moment inequality/equality model. GMS tests are shown to have asymptotic power that dominates that of subsampling, m out of n bootstrap, and PA tests. Subsampling and m out of n bootstrap tests are shown to have asymptotic power that dominates that of PA tests.
引用
收藏
页码:119 / 157
页数:39
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