We propose a new theoretical framework to assess the approximate validity of overidentifying moment restrictions. Their validity is evaluated by the divergence between the true probability measure and the closest measure that imposes the moment restrictions of interest. The divergence can be chosen as any of the Cressie-Read family. The considered alternative hypothesis states that the divergence is smaller than some user-chosen tolerance. Tests are constructed based on the minimum empirical divergence that attain the local semiparametric power envelope of invariant tests. We show how the tolerance can be chosen by reformulating the hypothesis under test as a set of admissible misspecifications. Two empirical applications illustrate t...
This paper studies second-order properties of the empirical likelihood overidentifying restriction t...
The primary focus of this article is the provision of tests for the validity of a set of conditional...
Standard tests and confidence sets in the moment inequality literature are not robust to model misspe...
We propose a new theoretical framework to assess the approximate validity of overidentifying moment...
I propose a new theoretical framework to assess the approximate validity of overidentifying moment r...
In models defined by unconditional moment restrictions, specification tests are possible and estimator...
In this paper, we propose a new class of tests for overidentifying restrictions in moment condition ...
We consider inference in models defined by approximate moment conditions. We show that near-optimal c...
This paper is concerned with possible model misspecification in moment inequality models. Two issues...
This note uses a simple example to show how moment inequality models used in the empirical economics...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This paper is concerned with tests and confidence intervals for partially-identified parameters that a...
In this paper we propose a new consistent conditional moment test, which synergizes Bierens’ approa...
This paper presents optimal tests for violations of the moment conditions in the GMM framework. New ...
This thesis identifies the asymptotic properties of generalized empirical likelihood estimators when...
This paper studies second-order properties of the empirical likelihood overidentifying restriction t...
The primary focus of this article is the provision of tests for the validity of a set of conditional...
Standard tests and confidence sets in the moment inequality literature are not robust to model misspe...
We propose a new theoretical framework to assess the approximate validity of overidentifying moment...
I propose a new theoretical framework to assess the approximate validity of overidentifying moment r...
In models defined by unconditional moment restrictions, specification tests are possible and estimator...
In this paper, we propose a new class of tests for overidentifying restrictions in moment condition ...
We consider inference in models defined by approximate moment conditions. We show that near-optimal c...
This paper is concerned with possible model misspecification in moment inequality models. Two issues...
This note uses a simple example to show how moment inequality models used in the empirical economics...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This paper is concerned with tests and confidence intervals for partially-identified parameters that a...
In this paper we propose a new consistent conditional moment test, which synergizes Bierens’ approa...
This paper presents optimal tests for violations of the moment conditions in the GMM framework. New ...
This thesis identifies the asymptotic properties of generalized empirical likelihood estimators when...
This paper studies second-order properties of the empirical likelihood overidentifying restriction t...
The primary focus of this article is the provision of tests for the validity of a set of conditional...
Standard tests and confidence sets in the moment inequality literature are not robust to model misspe...