Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection
The topic of this paper is inference in models in which parameters are defined by moment inequalities and/or equalities. The parameters may or may not be identified. This paper introduces a new class of confidence sets and tests based on generalized moment selection (GMS). GMS procedures are shown to have correct asymptotic size in a uniform sense and are shown not to be asymptotically conservative. Copyright 2010 The Econometric Society.
Year of publication: |
2010
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Authors: | Andrews, Donald W. K. ; Soares, Gustavo |
Published in: |
Econometrica. - Econometric Society. - Vol. 78.2010, 1, p. 119-157
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Publisher: |
Econometric Society |
Saved in:
Online Resource
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