Feb 16, 2018 · In this paper, we focus on three well established, yet newer, estimators and assess their ability to account for external factors in a ...

We focus on their ability to identify production frontiers and efficiency rankings in the presence of environmental factors. Our simulations match features of ...

Our simulations match features of real life datasets and cover a wide range of scenarios with variations in sample size, distribution of noise and inefficiency, ...

Aug 13, 2024 · Our results provide insight in the finite sample properties of the estimators, while also identifying estimator-specific characteristics.

We focus on their ability to identify production frontiers and efficiency rankings in the presence of environmental factors. Our simulations match features of ...

Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation · Economics. Operational Research · 2020.

Save and organize your research references with the Papers cloud library. Access your library anytime, anywhere with the Papers web, desktop, or mobile apps ...

We focus on their ability to identify production frontiers and efficiency rankings in the presence of environmental factors. Our simulations match features of ...

Monte Carlo experiments suggest that the efficiency probabilities are more reliable in terms of mean absolute percent error when inefficiency has large ...

A testing procedure is suggested for the relevance of the environ- mental factors. Monte Carlo study shows plausible finite sample behavior of our proposed ...