In a recent article (1984a) Phillips showed that the distribution of the limited information maximum likelihood (LIML) estimator of the coefficients of the endogenous variables in a single structural equation is multivariate Cauchy in the leading (totally unidentified) case. The purpose of the present note is to show that the same result holds for the full information maximum likelihood (FIML) estimator. Our proof relies on the theory of invariant measures on a Stiefel manifold. This approach provides a major simplification of the derivation of the LIML result given in the earlier article and extends to the FIML case without difficulty. We start by illustrating its use for LIML
The distributions of the Limited Information Maximum Likelihood estimator for the coefficient of one...
We develop the panel limited information maximum likelihood (PLIML) approach for estimating dynamic ...
We consider the estimation of coefficients of a dynamic panel structural equation in the simultaneou...
In a recent article (1984a) Phillips showed that the distribution of the limited information maximum...
It is shown that the exact finite sample distribution of the limited information maximum likelihood (...
This paper derives the exact probability density function of the limited information maximum likelih...
It is shown that the exact distribution of the LIML estimator in a general and leading single equati...
The standard Cauchy distribution is completely characterized by theproperty that it has no atmos and...
In the context of a single linear structural equation under classical assumptions, we derive the joi...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
When an econometric structural equation includes two endogenous variables and their coefficients are...
textabstractWe construct limiting and small sample distributions of maximum likelihood estimators (...
We consider the estimation of coefficients of a structural equation with many instrumental variables...
We consider the estimation of the coefficients of a linear structural equation in a simultaneous equ...
This paper presents a numerical algorithm for computing full information maximum likelihood (FIML) a...
The distributions of the Limited Information Maximum Likelihood estimator for the coefficient of one...
We develop the panel limited information maximum likelihood (PLIML) approach for estimating dynamic ...
We consider the estimation of coefficients of a dynamic panel structural equation in the simultaneou...
In a recent article (1984a) Phillips showed that the distribution of the limited information maximum...
It is shown that the exact finite sample distribution of the limited information maximum likelihood (...
This paper derives the exact probability density function of the limited information maximum likelih...
It is shown that the exact distribution of the LIML estimator in a general and leading single equati...
The standard Cauchy distribution is completely characterized by theproperty that it has no atmos and...
In the context of a single linear structural equation under classical assumptions, we derive the joi...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
When an econometric structural equation includes two endogenous variables and their coefficients are...
textabstractWe construct limiting and small sample distributions of maximum likelihood estimators (...
We consider the estimation of coefficients of a structural equation with many instrumental variables...
We consider the estimation of the coefficients of a linear structural equation in a simultaneous equ...
This paper presents a numerical algorithm for computing full information maximum likelihood (FIML) a...
The distributions of the Limited Information Maximum Likelihood estimator for the coefficient of one...
We develop the panel limited information maximum likelihood (PLIML) approach for estimating dynamic ...
We consider the estimation of coefficients of a dynamic panel structural equation in the simultaneou...