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This paper considers the problem of testing a finite number of moment inequalities. We propose a two-step approach. In the first step, a confidence region for the moments is constructed. In the second step, this set is used to provide information about which moments are negative. A...
Persistent link: https://www.econbiz.de/10010316942
This paper studies the problem of specification testing in partially identified models defined by a finite number of moment equalities and inequalities (i.e., (in)equalities). Under the null hypothesis, there is at least one parameter value that simultaneously satisfies all of the moment...
Persistent link: https://www.econbiz.de/10010318712
application of our test is sub-vector inference in moment inequality models, that is, for a multidimensional Ø, the function f …
Persistent link: https://www.econbiz.de/10010368194
This paper studies the problem of specification testing in partially identified models defined by a finite number of moment equalities and inequalities (i.e. (in)equalities). Under the null hypothesis, there is at least one parameter value that simultaneously satisfies all of the moment...
Persistent link: https://www.econbiz.de/10010368196
This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in …. Our inference method controls asymptotic size uniformly over a large class of data distributions. The current literature … inference. Relative to projection-based procedures, our method presents three advantages: (i) it weakly dominates in terms of …
Persistent link: https://www.econbiz.de/10010368201
This paper considers the problem of testing a finite number of moment inequalities. We propose a two-step approach. In the first step, a confidence region for the moments is constructed. In the second step, this set is used to provide information about which moments are "negative." A...
Persistent link: https://www.econbiz.de/10011282464
This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in …. Our inference method controls asymptotic size uniformly over a large class of data distributions. The current literature … inference. Relative to projection-based procedures, our method presents three advantages: (i) it weakly dominates in terms of …
Persistent link: https://www.econbiz.de/10011445755
This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in … new inference method we propose controls asymptotic size uniformly over a large class of data distributions and improves … inference. Relative to projection-based procedures, our method presents three advantages: (i) it weakly dominates in terms of …
Persistent link: https://www.econbiz.de/10011995481
We provide a finite sample inference method for the structural parameters of a semiparametric binary response model … under a conditional median restriction originally studied by Manski (1975, 1985). Our inference method is valid for any … due to the lack of a continuously distributed covariate with large support. Our inference approach exploits distributional …
Persistent link: https://www.econbiz.de/10012621099
This paper studies the problem of specification testing in partially identified models defined by moment (in)equalities. This problem has not been directly addressed in the literature, although several papers have suggested a test based on checking whether confidence sets for the parameters of...
Persistent link: https://www.econbiz.de/10011190735