In productivity and efficiency analysis, the technical efficiency of a production unit is measured through its distance … viewed as additive (rather than multiplicative) measures efficiency. Directional distance functions are not restricted to non … develop consistent bootstrap procedures for statistical inference about directional distance, estimation of confidence …

A rich literature on the analysis of efficiency in production has developed since pioneering work of Tjalling Koopmans … some shape constraints, in multiple dimensions. New results that enable inference about mean efficiency as well as tests of … convexity, returns to scale, differences in mean efficiency and the separability condition described by Simar and Wilson …

in analyses of productive efficiency. The distributions of these estimators remain unknown except in the simple case of … one input and one output, and previous bootstrap methods proposed for inference have not been proven consistent, making … result is then used to prove that two different bootstrap procedures (one based on sub-sampling, the other based on smoothing …

in analyses of productive efficiency. The distributions of these estimators remain unknown except in the simple case of … one input and one output, and previous bootstrap methods proposed for inference have not been proven consistent, making … result is then used to prove that two different bootstrap procedures (one based on sub-sampling, the other based on smoothing …

efficiency is in place. Here we address the question of technical efficiency with respect to university’s size. The crucial … concept in this analysis is conditional efficiency and the ratio of size-conditional to unconditional efficiency measures. In … particular we take use of robust order-m efficiency scores presented in Cazals, Florens and Simar (2002) and generalized in …

frontier models. Some adapted methods are illustrated in analyzing the bootstrap sampling variations of input efficiency …Efficiency scores of production units are generally measured relative to an estimated production frontier …. Nonparametric estimators (DEA, FDH, \cdots ) are based on a finite sample of observed production units. The bootstrap is one easy …