We study the asymptotic properties of the standard GMM estimator when additional moment restrictions, weaker than the original ones, are available. We provide conditions under which these additional weaker restrictions improve the efficiency of the GMM estimator. To detect “spurious” identification that may come from invalid moments, we rely on the Hansen J-test that assesses the compatibility between existing restrictions and additional ones. Our simulations reveal that the J-test has good power properties and that its power increases with the weakness of the additional restrictions. Our theoretical characterization of the J-test provides some intuition for why that is
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimator...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This chapter studies the asymptotic properties of estimation and infer-ence with weak identification...
We consider models defined by a set of moment restrictions that may be subject to weak identificatio...
Abstract: We consider a GMM framework where weaker patterns of identification may arise: typically, ...
Abstract We consider models defined by a set of moment restrictions that may be subject to weak iden...
This paper studies how identification is affected in GMM estimation as the number of moment conditio...
This paper proposes a simple, fairly general, test for global identification of unconditional moment ...
We propose a generalized method of moments (GMM) Lagrange multiplier statistic, i.e., the K statisti...
In this paper we analyze GMM and Continuous Updating Estimator (CUE) with strong and nearly-weak ins...
We construct higher order expressions of (weak instrument robust) generalized method of moment (GMM)...
We propose a Generalized Method of Moments (GMM) Lagrange multiplier statistic, i.e. the K-statistic...
This paper determines the properties of standard generalized method of moments (GMM) estimators, tes...
We propose a generalized method of moments (GMM) Lagrange multiplier statistic, i.e. the K statistic...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimator...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This chapter studies the asymptotic properties of estimation and infer-ence with weak identification...
We consider models defined by a set of moment restrictions that may be subject to weak identificatio...
Abstract: We consider a GMM framework where weaker patterns of identification may arise: typically, ...
Abstract We consider models defined by a set of moment restrictions that may be subject to weak iden...
This paper studies how identification is affected in GMM estimation as the number of moment conditio...
This paper proposes a simple, fairly general, test for global identification of unconditional moment ...
We propose a generalized method of moments (GMM) Lagrange multiplier statistic, i.e., the K statisti...
In this paper we analyze GMM and Continuous Updating Estimator (CUE) with strong and nearly-weak ins...
We construct higher order expressions of (weak instrument robust) generalized method of moment (GMM)...
We propose a Generalized Method of Moments (GMM) Lagrange multiplier statistic, i.e. the K-statistic...
This paper determines the properties of standard generalized method of moments (GMM) estimators, tes...
We propose a generalized method of moments (GMM) Lagrange multiplier statistic, i.e. the K statistic...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...
This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimator...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
This chapter studies the asymptotic properties of estimation and infer-ence with weak identification...