In an unnormalised structural equation only the direction of the coefficient vector is determined. An estimator for the coefficients in the normalised equation defines an estimator for the direction of the coefficient vector in the unnormalised equation, and the density of the former induces a density for the latter. Though complex, the induced densities of the direction estimators are much more revealing about the properties of the estimators than their counterparts for the normalised case. The results help to explain other evidence of the superiority of the limited information maximum likelihood estimator
We compare four different estimation methods for the coefficients of a linear structural equation wi...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
The entire thesis text is included in the research.pdf file; the official abstract appears in the sh...
In the context of the single structural equation model, we derive a number of exact results that ext...
The Limited Information Maximum Likelihood estimator of the coefficients of a structural equation in...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
When an econometric structural equation includes two endogenous variables and their coefficients are...
Starting from the conditional density of the instrumental variable (IV) estimator given the right-ha...
The possibility that a structural equation may not be identified casts doubt on measures of estimato...
A standard assumption in structural equation models with interaction terms is the normality of all t...
The aim of this work is to show an integrated approach for using the Structural Equation Model (SEM)...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
Maximum likelihood o1nd minimum distance estimators are specified for nonlinear structural econometr...
The Limited Information Maximum Likelihood estimator of the vector of coefficients of a structural e...
This paper examines the sensitivity of the distributions of OLS and 2SLS estimators to the assumptio...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
The entire thesis text is included in the research.pdf file; the official abstract appears in the sh...
In the context of the single structural equation model, we derive a number of exact results that ext...
The Limited Information Maximum Likelihood estimator of the coefficients of a structural equation in...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
When an econometric structural equation includes two endogenous variables and their coefficients are...
Starting from the conditional density of the instrumental variable (IV) estimator given the right-ha...
The possibility that a structural equation may not be identified casts doubt on measures of estimato...
A standard assumption in structural equation models with interaction terms is the normality of all t...
The aim of this work is to show an integrated approach for using the Structural Equation Model (SEM)...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
Maximum likelihood o1nd minimum distance estimators are specified for nonlinear structural econometr...
The Limited Information Maximum Likelihood estimator of the vector of coefficients of a structural e...
This paper examines the sensitivity of the distributions of OLS and 2SLS estimators to the assumptio...
We compare four different estimation methods for the coefficients of a linear structural equation wi...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
The entire thesis text is included in the research.pdf file; the official abstract appears in the sh...