This paper examines the sensitivity of the distributions of OLS and 2SLS estimators to the assumption of normality of disturbances in a structural equation with two included endogenous variables. The approach taken is that ofimposing Edgeworth distributed errors on the reduced form equations and deriving the pdf of the estimators via the technique of Davis [11]. The sensitivity of the pdf s to changes in the non-normality parameters, i.e., skewness and kurtosis i s examined via extensive numerical computations.
Master's thesis in Mathematics and PhysicsThe Linear mixed effects model is based on one of the assu...
Abstract: Estimation of standard errors of Engel elasticities within the framework of a linear stru...
Maximum likelihood estimation of parameters in linear structural relationships under normality assum...
Ordinary Least Squares (OLS) is a method for analyzing and estimating\ud the relationship among vari...
This is the authors’ final, accepted and refereed manuscript to the articleThe Satorra Bentler (SB) ...
We discuss structural equation models for non-normal variables. In this situation the maximum likeli...
This paper studies the sensitivity to non-normality Of the normal-theory test for the null hypothesi...
In the context of the single structural equation model, we derive a number of exact results that ext...
The accuracy of alternative estimation methods (i.e., ML, GLS, and WLS) in structural equation model...
Many inferential statistical tests require that the observed variables have a normal distribution. M...
We consider the bias of the 2SLS estimator in general dynamic simultaneousequation models with g end...
quasi score estimator, robustness Mathematical Subject Classification: Primany 62J02, secondary 62F3...
Estimation of standard errors of Engel elasticities within the framework of a linear structural mode...
In an unnormalised structural equation only the direction of the coefficient vector is determined. A...
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
Master's thesis in Mathematics and PhysicsThe Linear mixed effects model is based on one of the assu...
Abstract: Estimation of standard errors of Engel elasticities within the framework of a linear stru...
Maximum likelihood estimation of parameters in linear structural relationships under normality assum...
Ordinary Least Squares (OLS) is a method for analyzing and estimating\ud the relationship among vari...
This is the authors’ final, accepted and refereed manuscript to the articleThe Satorra Bentler (SB) ...
We discuss structural equation models for non-normal variables. In this situation the maximum likeli...
This paper studies the sensitivity to non-normality Of the normal-theory test for the null hypothesi...
In the context of the single structural equation model, we derive a number of exact results that ext...
The accuracy of alternative estimation methods (i.e., ML, GLS, and WLS) in structural equation model...
Many inferential statistical tests require that the observed variables have a normal distribution. M...
We consider the bias of the 2SLS estimator in general dynamic simultaneousequation models with g end...
quasi score estimator, robustness Mathematical Subject Classification: Primany 62J02, secondary 62F3...
Estimation of standard errors of Engel elasticities within the framework of a linear structural mode...
In an unnormalised structural equation only the direction of the coefficient vector is determined. A...
Probability density functions were derived for errors in the evaluation of unknowns by the least squ...
Master's thesis in Mathematics and PhysicsThe Linear mixed effects model is based on one of the assu...
Abstract: Estimation of standard errors of Engel elasticities within the framework of a linear stru...
Maximum likelihood estimation of parameters in linear structural relationships under normality assum...