In this paper, we have developed an operational method for estimating error components regression models when the variance- covariance matrix of the disturbance terms is unkown. Monte Carlo Studies were conducted to compare the relative efficiency of the pooled estimator obtained by this...

This paper has two goals: first to describe a theoretical model which derives relationships among migration decisions explicitly from utility maximization under uncertainty; and second, to examine why nations vary in their internal migration. To explain variation in internal migration, we...

THE ASSUMPTION THAT THE CORRELATION BETWEEN THE TEMPORAL ERROR TERMS ∈ t AND ∈t-n DECLINES AS n INCREASES CAN BE JUSTIFIED BY APPEALING TO FIRST OR SECOND ORDER MAR-KOV PROCESSES OR TO SPECTRAL ANALYSIS, BUT A SIMILAR ASSUMPTION CANNOT BE JUSTIFIED FOR SPATIAL ERROR TERMS. THIS...