International audienceThis paper proposes consistent moment selection procedures for generalized method of moments estimation based on the J test of over-identifying restrictions (Hansen [1982]) and on the Eichenbaum, Hansen and Singleton [1988] test of the validity of a subset of moment conditions
Using many moment conditions can improve efficiency but makes the usual generalized method of moment...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimato...
The generalized method of moments (GMM) is the centrepiece of semiparametric estimation frameworks. ...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This paper proposes consistent moment selection procedures for generalized method of moments estimat...
The topic of this paper is inference in models in which parameters are defined by moment inequalitie...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
OnlinePublThis paper proposes a robust moment selection method aiming to pick the best model even if...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
This paper proposes an estimator combining empirical likelihood (EL) and the generalized method of m...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...
In this paper, we propose a new class of tests for overidentifying restrictions in moment condition ...
This paper presents optimal tests for violations of the moment conditions in the GMM framework. New ...
The topic of this bachelor thesis is the Generalized Method of Moments (GMM), its asymptotic propert...
This paper describes estimation methods, based on the generalized method of moments (GMM), applicabl...
Using many moment conditions can improve efficiency but makes the usual generalized method of moment...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimato...
The generalized method of moments (GMM) is the centrepiece of semiparametric estimation frameworks. ...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This paper proposes consistent moment selection procedures for generalized method of moments estimat...
The topic of this paper is inference in models in which parameters are defined by moment inequalitie...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
OnlinePublThis paper proposes a robust moment selection method aiming to pick the best model even if...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
This paper proposes an estimator combining empirical likelihood (EL) and the generalized method of m...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...
In this paper, we propose a new class of tests for overidentifying restrictions in moment condition ...
This paper presents optimal tests for violations of the moment conditions in the GMM framework. New ...
The topic of this bachelor thesis is the Generalized Method of Moments (GMM), its asymptotic propert...
This paper describes estimation methods, based on the generalized method of moments (GMM), applicabl...
Using many moment conditions can improve efficiency but makes the usual generalized method of moment...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimato...
The generalized method of moments (GMM) is the centrepiece of semiparametric estimation frameworks. ...