This paper considers the problem of finding the "best " estimator among a class that includes most of the commonly used limited information estimators in simultaneous equation systems. Concentration comparisons, based on the Edgeworth expansion of the distribution of these estimators, lead to selection rules of sufficient simplicity to be useful in applied econometric research. 1
A method of extracting marginal density approximations using the multivariate version of the Laplace...
This paper investigates four topics. (1) It examines the different roles played by the propensity sc...
Tlm?e full informarion eSlimarors--.JSLS, Fl M L, and full infurmmion insrrumenral l'a,iables (...
Instrumental variables estimation is widely applied in econometrics. To implement the method, it is ...
This dissertation provides applied and theoretical work which will help researchers in economics est...
This paper presents a new approximation to the exact sampling distribution of the instrumental varia...
This paper presents a new approximation to the exact sampling distribution of the instrumental varia...
This paper presents a new approximation to the exact sampling distribution of the instrumental varia...
This article introduces semiparametric methods for the estimation of simultaneous equation microe-co...
Comparisons of estimators are made on the basis of their mean squared errors and their concentration...
Defence date: 31 January 2012Examining Board: Professor Richard Spady, Johns Hopkins University (Ext...
Instrumental variable estimation has a long history in econometrics. The first contributions took pl...
Instrumental variables are commonly used in statistics, econometrics, and epidemiology to obtain con...
Recently, interest has grown in the use of instrumental variables (IVs) in estimating factor analysi...
We compare four different estimation methods for a coefficient of a linear structural equation with ...
A method of extracting marginal density approximations using the multivariate version of the Laplace...
This paper investigates four topics. (1) It examines the different roles played by the propensity sc...
Tlm?e full informarion eSlimarors--.JSLS, Fl M L, and full infurmmion insrrumenral l'a,iables (...
Instrumental variables estimation is widely applied in econometrics. To implement the method, it is ...
This dissertation provides applied and theoretical work which will help researchers in economics est...
This paper presents a new approximation to the exact sampling distribution of the instrumental varia...
This paper presents a new approximation to the exact sampling distribution of the instrumental varia...
This paper presents a new approximation to the exact sampling distribution of the instrumental varia...
This article introduces semiparametric methods for the estimation of simultaneous equation microe-co...
Comparisons of estimators are made on the basis of their mean squared errors and their concentration...
Defence date: 31 January 2012Examining Board: Professor Richard Spady, Johns Hopkins University (Ext...
Instrumental variable estimation has a long history in econometrics. The first contributions took pl...
Instrumental variables are commonly used in statistics, econometrics, and epidemiology to obtain con...
Recently, interest has grown in the use of instrumental variables (IVs) in estimating factor analysi...
We compare four different estimation methods for a coefficient of a linear structural equation with ...
A method of extracting marginal density approximations using the multivariate version of the Laplace...
This paper investigates four topics. (1) It examines the different roles played by the propensity sc...
Tlm?e full informarion eSlimarors--.JSLS, Fl M L, and full infurmmion insrrumenral l'a,iables (...