This note provides Monte Carlo evidence illustrating that feasible and true GLS estimators of the Baltagi and Griffin (1988) generalized error component model do not have the same sampling behavior. Indeed, while the true GLS estimator is consistent, a feasible GLS estimator need not be, an...

This note provides an AECM (alternating expectation conditional maximization) algorithm for calculating maximum-likelihood estimates of stratified error-components models. An advantage it has over other algorithms is that it can be easily modified to incorporate useful restrictions on the...

This note provides Monte Carlo evidence illustrating that feasible and true GLS estimators of the Baltagi and Griffin (1988) generalized error component model do not have the same sampling behavior. Indeed, while the true GLS estimator is consistent, a feasible GLS estimator need not be, an...

This note provides an AECM (alternating expectation conditional maximization) algorithm for calculating maximum-likelihood estimates of stratified error-components models. An advantage it has over other algorithms is that it can be easily modified to incorporate useful restrictions on the...