IN THEIR ARTICLE [5], Liu and Breen propose a new estimator of the large-sample asymptotic covariance matrix for the limited information maximum likelihood estimator in simultaneous equations, and express surprise that their estimator is different from the estimator proposed by Chernoff and Divinsky [1]. Additionally, they question the interpretation of a statistic used in the past to test over-identifying restrictions
This paper nicely illustrates the convergence of classical and Bayesian methods for increasingly com...
Glidden and Liang [2002] have raised important issues regarding ascertainment adjustment in the fram...
Traditional econometrics has long stressed the serious consequences of non-spherical disturbances fo...
We consider a particular maximum likelihood estimator (MLE) and a computationally-intensive Bayesian...
We are grateful for the opportunity to discuss this new test, based on marginal screening, of a glob...
THE TEST OF OVERIDENTIFYING restrictions of one equation in a simultaneous system proposed by Anders...
The information matrix (IM) equality can be used to test for misspecification of a parametric model....
Since we know that the estimator is asymptotically () efficient, which means the asymptotic covarian...
We congratulate Drs. Kang and Schafer (KS hence-forth) for a careful and thought-provoking contribut...
In this paper, we establish the central limit theorem (CLT) for linear spectral statistics (LSS) of ...
We start with a series of short items, and one longer example follows. 1. Properties of maximum like...
Hotelling's $T^2$ test is a classical approach for discriminating the means of two multivariate norm...
Estimation of covariance matrices in various norms is an issue that finds applications in a wide ran...
We thank de los Campos and Sorensen (D&S) for their Correspondence, which follows their recent w...
"Prepared under National Science Foundation Grant SOC 76-22232"Includes bibliographical references (...
This paper nicely illustrates the convergence of classical and Bayesian methods for increasingly com...
Glidden and Liang [2002] have raised important issues regarding ascertainment adjustment in the fram...
Traditional econometrics has long stressed the serious consequences of non-spherical disturbances fo...
We consider a particular maximum likelihood estimator (MLE) and a computationally-intensive Bayesian...
We are grateful for the opportunity to discuss this new test, based on marginal screening, of a glob...
THE TEST OF OVERIDENTIFYING restrictions of one equation in a simultaneous system proposed by Anders...
The information matrix (IM) equality can be used to test for misspecification of a parametric model....
Since we know that the estimator is asymptotically () efficient, which means the asymptotic covarian...
We congratulate Drs. Kang and Schafer (KS hence-forth) for a careful and thought-provoking contribut...
In this paper, we establish the central limit theorem (CLT) for linear spectral statistics (LSS) of ...
We start with a series of short items, and one longer example follows. 1. Properties of maximum like...
Hotelling's $T^2$ test is a classical approach for discriminating the means of two multivariate norm...
Estimation of covariance matrices in various norms is an issue that finds applications in a wide ran...
We thank de los Campos and Sorensen (D&S) for their Correspondence, which follows their recent w...
"Prepared under National Science Foundation Grant SOC 76-22232"Includes bibliographical references (...
This paper nicely illustrates the convergence of classical and Bayesian methods for increasingly com...
Glidden and Liang [2002] have raised important issues regarding ascertainment adjustment in the fram...
Traditional econometrics has long stressed the serious consequences of non-spherical disturbances fo...