The purpose of this paper is two-fold. First, it compares the performance of various panel data models in estimating technical efficiency in production. Second, it applies various stochastic frontier panel data models to estimate the technical efficiency of Iran's cotton production and to...

This study applies a panel data stochastic frontier analysis to country data towards examining the effect of gender equity in labor market opportunities upon efficiency in the production of GDP. It finds that aggregate technical efficiency is improved by a widening of women's labor market...

By applying a stochastic production frontier approach to the matching process of unemployed and vacancies, this paper provides novel detailed insights into the process of job creation. For different labor markets as defined by occupation and region, the methodology produces estimates of the...

Using a large panel data set we investigate whether works councils act as sand or grease in the operation of German firms. Stochastic production frontier analysis indicates that establishments with and without a works council do not exhibit significant differences in efficiency.

We derive a non-standard unit root serial correlation formulation for intertemporal adjustments in the labor force participation rate. This leads to a tractable three-error component model, which in contrast to other models embeds heterogeneity into the error structure. Unlike in the typical iid...

Using a stochastic frontier approach this paper evaluates the effects of substantial changes in the teaching material on students learning efficiency. The results indicate that the main effects of the re-organization on the learning efficiency was a decreasing importance of students' attendance...

We evaluate the determinants of matching efficiency changes through a stochastic Cobb- Douglas production frontier model extended to allow the efficiency coefficient to depend on variables meant to capture workers and firms characteristics. We apply this methodology to examine regional...