This paper explores the consequences for parametric and non-parametric efficiency levels and rankings when using grouped instead of individual Decision Making Units (DMU). The bias results due to the differences of the grouped DMUs frontier compared to the individual DMUs frontier. Monte Carlo...

A detailed decomposition of the sources of the Total Factor Productivity (TFP) growth index within an output distance function framework was carried out, looking at the following components: technical change, change in technical efficiency, scale component, and violations of the profit...

The study is devoted to the measurement of productivity and efficiency change in Chinese farming sector over the reform process in the 1980s and 1990s. Within an output distance function framework, an index of total factor productivity is decomposed into technical and allocative efficiency,...

Parametric stochastic frontier models yield firm-level conditional distributions of inefficiency that are truncated normal. Given these distributions, how should one assess and rank firm-level efficiency? This study compares the techniques of estimating a) the conditional mean of inefficiency...

We use a stochastic production frontier model to investigate the presence of heterogeneous production and its impact on fleet capacity and capacity utilization in a multi-species fishery. Furthermore, we propose a new fleet capacity estimate that incorporates complete information on the...