This paper studies the properties of t-ratios associated with the limited information maximum likelihood (LIML) estimators in a structural form estimation when the number of instrumental variables is large. Asymptotic expansions are made of the distributions of a large K t-ratio statistic under large-Kn asymptotics. A modified t-ratio statistic is proposed from the asymptotic expansion. The power of the large K t-ratio test dominates the AR test, the K-test by Kleibergen (2002), and the conditional LR test by Moreira (2003); and the difference can be substantial when the instruments are weak.
AbstractThe use of many moment conditions improves the asymptotic efficiency of the instrumental var...
In this paper we derive an alternative asymptotic approximation to the sampling distribution of the ...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
This paper studies the properties of t-ratios associated with the limited information maximum likeli...
This paper studies properties of the likelihood ratio (LR) tests associated with the limited informa...
This paper studies the properties of Likelihood Ratio (LR) tests associated with the limited informa...
This paper studies second-order properties of the many instruments robust t-ratios based on the limi...
We consider the estimation of the coefficients of a linear structural equation in a simultaneous equ...
We consider the estimation of the coefficients of a linear structural equation in a si-multaneous eq...
Using many valid instrumental variables has the potential to improve efficiency but makes the usual ...
We consider the estimation of the coefficients of a linear structural equation in a simultaneous equ...
This paper develops exact finite sample and asymptotic distributions for structural equation tests ba...
We study several tests for the coefficient of the single right-hand-side endogenous variable in a li...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
This paper considers specification testing for instrumental variables estimation in the presence of m...
AbstractThe use of many moment conditions improves the asymptotic efficiency of the instrumental var...
In this paper we derive an alternative asymptotic approximation to the sampling distribution of the ...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
This paper studies the properties of t-ratios associated with the limited information maximum likeli...
This paper studies properties of the likelihood ratio (LR) tests associated with the limited informa...
This paper studies the properties of Likelihood Ratio (LR) tests associated with the limited informa...
This paper studies second-order properties of the many instruments robust t-ratios based on the limi...
We consider the estimation of the coefficients of a linear structural equation in a simultaneous equ...
We consider the estimation of the coefficients of a linear structural equation in a si-multaneous eq...
Using many valid instrumental variables has the potential to improve efficiency but makes the usual ...
We consider the estimation of the coefficients of a linear structural equation in a simultaneous equ...
This paper develops exact finite sample and asymptotic distributions for structural equation tests ba...
We study several tests for the coefficient of the single right-hand-side endogenous variable in a li...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
This paper considers specification testing for instrumental variables estimation in the presence of m...
AbstractThe use of many moment conditions improves the asymptotic efficiency of the instrumental var...
In this paper we derive an alternative asymptotic approximation to the sampling distribution of the ...
We compare four different estimation methods for the coefficients of a linear structural equation wi...