We consider estimation of a panel data model where disturbances are spatially correlated in the cross-sectional dimension, based on geographic or economic proximity. When the time dimension of the data is large, spatial correlation parameters may be consistently estimated. When the time...

This paper considers estimation of a panel data model with disturbances that are autocorrelated across cross-sectional units. It is assumed that the disturbances are spatially correlated, based on some geographic or economic proximity measure. If the time dimension of the data is large, feasible...

We consider estimation of a panel data model where disturbances are "spatially correlated" in the cross-sectional dimension, based on geographic or economic proximity. When the time dimension of the data is large, spatial correlation parameters may be consistently estimated. When the time...

In transition economies, there may be a significant mismatch between the types of skills that workers possess and the types of skills that the new economy demands. We consider this problem of human capital mismatch along the dimensions of training type (holding the level) and occupation. We...

Performance in retailing is usually evaluated by routine use of ratio analysis, but due to the univariate nature of this simple management tool there are many drawbacks to the obtained results. Therefore, the aim of this study is to demonstrate successful employment of parametric and...

A new gender wage gap decomposition methodology is introduced that does not suffer from the identification problem caused by unobserved non-discriminatory wage structure. The methodology is used to measure the relative size of Korean gender wage gaps from 1994 to 2000 across industries,...

Although a number of studies have been conducted on health production functions, little attention has been given to pharmaceuticals as a separate input into the production of health. Building upon existing published work, this paper uses an alternative specification and more recent data to...

An intuitively appealing method for estimating gender wage gaps by industry is shown to yield estimates that vary according to the arbitrary choice of left-out reference groups for non-industry categorical variables, such as race and marital status. This study uses data from the Current...

Consumers choose from among the varieties of two brands and an outside good using order statistics. We analytically derive demand functions conditional on their valuations of the varieties being distributed independently uniform. Based on this theory, we estimate a threeparameter empirical...