We study the effect of economic fluctuations on investment in higher education for a wide range of countries. Our main focus is foreign students who come to the United States to attend university. There is a strong relation between enrollment and the business cycle in the sending country. The...

The paper provides a review of basic elements of asymptotic theory. Topics include modes of convergence, laws of large numbers and central limit theorems.

By far, the most popular test for spatial correlation is the one based on Moran's (1950) I test statistic. Despite this, the available results in the literature concerning the large sample distribution of this statistic are limited and have been derived under assumptions that do not cover many...

In this paper we discuss recent advances in modeling and estimating dynamic factor demand models, and review the use of such models in analyzing the production structure, the determinants of variable and quasi-fixed factors, and productivity growth. The paper also discusses the traditional...

To ascertain the prevalence of soft budgets and to find causes of softness, we surveyed Mongolian enterprises, asking whether state aid was expected when financial difficulties arose. One-quarter of enterprises expected soft-budgets, a large proportion of which have central government ownership....

We examine how Russian enterprises do business with one another, focusing on the strategies used to obtain efficiency and predictability in their transactions. Using survey data, the paper analyzes the relative importance of relational contracting, self-enforcement, enterprise networks, private...

Various two stage least squares procedures have been suggested for the estimation of the autoregressive parameter in the spatial autoregressive model of order one. These procedures are computationally convenient and so their use is "tempting". In this paper we show that these procedures are, in...

Cross sectional spatial models frequently contain a spatial lag of the dependent variable as a regressor, or a disturbance term which is spatially autoregressive. In this paper we describe a computationally simple procedure for estimating cross sectional models which contain both of these...

This paper is concerned with the estimation of the autoregressive parameter in a widely considered spatial autocorrelation model. The typical estimator for this parameter considered in the literature is the (quasi) maximum likelihood estimator corresponding to a normal density. However, as...