Add to ORKGTraditional estimators of parameters of simultaneous equations models are based on the least squares method. This estimators have good statistical properties under hypothetical assumptions. Unfortunately, in practice the hypothetical assumptions are often broken. Following [3, 4], distortions can be classified into two main categories, namely gross errors and distortions due to the model failure
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
We propose two simple bias-reduction procedures that apply to estimators in a general static simulta...
The Two-Sample Two-Stage Least Squares (TS2SLS) data combination estimator is a popular estimator fo...
The Two Stage Least Squares (2SLS) method is the commonly used method to estimate the parameters of ...
We consider the bias of the 2SLS estimator in general dynamic simultaneousequation models with g end...
Structural Equation Model (SEM) with latent variable is a powerful tool for social and behavioral sc...
In this paper we review existing work on robust estimation for simultaneous equations models. Then w...
Structural equation modeling (SEM) began at its roots as a method for modeling linear rela-tionships...
This paper presents a class of robust estimators for linear and non-linear simultaneous equations mo...
This Lecture Note deals with asymptotic properties, i.e. weak and strong consistency and asymptotic ...
In simultaneous equation models (SEMs) the assumption that the covariance matrix of the disturbances...
Robust estimation methods for SEM models that include ordered categorical data are currently availab...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
While 2SLS is the most widely used estimator for simuhaneous equation models, OLS may do better in f...
Structural equation models (SEM), or confirmatory factor analysis as a special case, contain model p...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
We propose two simple bias-reduction procedures that apply to estimators in a general static simulta...
The Two-Sample Two-Stage Least Squares (TS2SLS) data combination estimator is a popular estimator fo...
The Two Stage Least Squares (2SLS) method is the commonly used method to estimate the parameters of ...
We consider the bias of the 2SLS estimator in general dynamic simultaneousequation models with g end...
Structural Equation Model (SEM) with latent variable is a powerful tool for social and behavioral sc...
In this paper we review existing work on robust estimation for simultaneous equations models. Then w...
Structural equation modeling (SEM) began at its roots as a method for modeling linear rela-tionships...
This paper presents a class of robust estimators for linear and non-linear simultaneous equations mo...
This Lecture Note deals with asymptotic properties, i.e. weak and strong consistency and asymptotic ...
In simultaneous equation models (SEMs) the assumption that the covariance matrix of the disturbances...
Robust estimation methods for SEM models that include ordered categorical data are currently availab...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
While 2SLS is the most widely used estimator for simuhaneous equation models, OLS may do better in f...
Structural equation models (SEM), or confirmatory factor analysis as a special case, contain model p...
It is well known that consistent estimators of errors-in-variables models require knowledge of the r...
We propose two simple bias-reduction procedures that apply to estimators in a general static simulta...
The Two-Sample Two-Stage Least Squares (TS2SLS) data combination estimator is a popular estimator fo...