The main objective of this study is to investigate the impact of corporate R&D activities on firms' performance, measured by labour productivity. To this end, the stochastic frontier technique is applied, basing the analysis on a unique unbalanced longitudinal dataset consisting of 532 top...

In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...

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.

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...

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...

It is generally believed that the structural reforms that usher in competition and force companies to become more efficient were introduced later in India following the macroeconomic crisis in 1991. However, whether the post-1991 growth is an outcome of more efficient use of resources or greater...