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...

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...

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...

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...

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...

The conditions under which ordinary least squares (OLS) is an unbiased and consistent estimator of the linear probability model (LPM) are unlikely to hold in many instances. Yet the LPM still may be the correct model or a good approximation to the probability generating process. A sequential...