Instrumental variables estimation is widely applied in econometrics. To implement the method, it is necessary to specify a vector of instruments. In this paper, it is argued that there are compelling reasons to use the data for instrument selection, but that it is desirable to ensure the resulting estimator still behaves in the way predicted by standard textbook theory. These arguments lead one to propose three criteria for data based instrument selection. The remainder of the paper assesses the extent to which these criteria are met by two algorithms for data based instrument selection. The first algorithm is the method of structurally ordered instrumental variables proposed in the context of economy-wide linear simultaneous equation model...
This paper considers the problem of choosing the regularization parameter and the smoothing paramete...
We compare four dffierent estimation methods for a coefficient of a linear structural equation with ...
The identification and estimation of a semiparametric simultaneous equation model with selectivity h...
This dissertation provides applied and theoretical work which will help researchers in economics est...
Instrumental variables are commonly used in statistics, econometrics, and epidemiology to obtain con...
Instrumental variables estimation is a widely used technique in many fields in the social sciences. ...
Recently, interest has grown in the use of instrumental variables (IVs) in estimating factor analysi...
This paper considers the problem of finding the "best " estimator among a class that inclu...
Existing measures for the relevance of instrumental variables tend to focus on the ability of the in...
This PhD thesis focuses on instrumental variable models. Often, econometric models are based on orth...
Instrumental variables estimation is a widely used technique in many fields in the social sciences. ...
FIML estimates of a simultaneous equation econometric model can be obtained by iterating to converge...
We compare four different estimation methods for a coefficient of a linear structural equation with ...
Instrumental variable estimation has a long history in econometrics. The first contributions took pl...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
This paper considers the problem of choosing the regularization parameter and the smoothing paramete...
We compare four dffierent estimation methods for a coefficient of a linear structural equation with ...
The identification and estimation of a semiparametric simultaneous equation model with selectivity h...
This dissertation provides applied and theoretical work which will help researchers in economics est...
Instrumental variables are commonly used in statistics, econometrics, and epidemiology to obtain con...
Instrumental variables estimation is a widely used technique in many fields in the social sciences. ...
Recently, interest has grown in the use of instrumental variables (IVs) in estimating factor analysi...
This paper considers the problem of finding the "best " estimator among a class that inclu...
Existing measures for the relevance of instrumental variables tend to focus on the ability of the in...
This PhD thesis focuses on instrumental variable models. Often, econometric models are based on orth...
Instrumental variables estimation is a widely used technique in many fields in the social sciences. ...
FIML estimates of a simultaneous equation econometric model can be obtained by iterating to converge...
We compare four different estimation methods for a coefficient of a linear structural equation with ...
Instrumental variable estimation has a long history in econometrics. The first contributions took pl...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
This paper considers the problem of choosing the regularization parameter and the smoothing paramete...
We compare four dffierent estimation methods for a coefficient of a linear structural equation with ...
The identification and estimation of a semiparametric simultaneous equation model with selectivity h...