The aim of this paper is to present a consistent estimator of parameters in simultaneous equation model, based on characteristic roots and vectors of a matrix derived from the so called over-identifying restrictions. The Least Orthogonal Distance Estimator presented here is a more recent development of its original limited information version. The occasion, for reviewing it, has been given by its extension to a full information context which is here completely formalized and by the very encouraging results of recent simulation experiments
Estimation of simultaneous-equation, limited dependent variable models is considered. The minimum Ch...
The aim of this work is to study – via a Monte Carlo experiment – the small sample behaviour of Full...
This paper presents a class of robust estimators for linear and non-linear simultaneous equations mo...
The aim of this paper is to present a consistent estimator of parameters in simultaneous equation mo...
The aim of this paper is to present a consistent estimator of parameters in simultaneous equation mo...
An extension of Limited Information Least Orthogonal Distance Estimator (LI LODE) for structural par...
the aim of this work is to estimate the structural parameters of a simultaneous equation system usi...
Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models’ structural parameters is...
Abstract: Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models ’ structural pa...
Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models’ structural parameters is...
The aim of this paper is to present the results obtained on the class of Least Orthogonal Distance E...
The Limited Information Maximum Likelihood estimator of the coefficients of a structural equation in...
This study presents a separable nonlinear least squares (SNLLS) implementation of the minimum distan...
Rank conditions for identification in structural models are often difficult evaluate. Here we consid...
Amemiya's generalized least squares method for the estimation of simultaneous equation models w...
Estimation of simultaneous-equation, limited dependent variable models is considered. The minimum Ch...
The aim of this work is to study – via a Monte Carlo experiment – the small sample behaviour of Full...
This paper presents a class of robust estimators for linear and non-linear simultaneous equations mo...
The aim of this paper is to present a consistent estimator of parameters in simultaneous equation mo...
The aim of this paper is to present a consistent estimator of parameters in simultaneous equation mo...
An extension of Limited Information Least Orthogonal Distance Estimator (LI LODE) for structural par...
the aim of this work is to estimate the structural parameters of a simultaneous equation system usi...
Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models’ structural parameters is...
Abstract: Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models ’ structural pa...
Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models’ structural parameters is...
The aim of this paper is to present the results obtained on the class of Least Orthogonal Distance E...
The Limited Information Maximum Likelihood estimator of the coefficients of a structural equation in...
This study presents a separable nonlinear least squares (SNLLS) implementation of the minimum distan...
Rank conditions for identification in structural models are often difficult evaluate. Here we consid...
Amemiya's generalized least squares method for the estimation of simultaneous equation models w...
Estimation of simultaneous-equation, limited dependent variable models is considered. The minimum Ch...
The aim of this work is to study – via a Monte Carlo experiment – the small sample behaviour of Full...
This paper presents a class of robust estimators for linear and non-linear simultaneous equations mo...