Stochastic FDH/DEA estimators for frontier analysis

Stochastic Non-Parametric Frontier Analysis

In this paper we develop an approach that synthesizes the best features of the two main methods in the estimation of production efficiency. Specically, our approach first allows for statistical noise, similar to Stochastic frontier analysis, and second, it allows modeling multiple-inputs-multiple-outputs technologies without imposing parametric assumptions on production relationship, similar to...

Alternative Panel Data Estimators for Stochastic Frontier Models

Received analyses based on stochastic frontier modeling with panel data have relied primarily on results from traditional linear fixed and random effects models. This paper examines several extensions of these models that employ nonlinear techniques. The fixed effects model is extended to the stochastic frontier model using results that specifically employ the nonlinear specification. Based on ...

Stochastic Frontier Analysis

published by the press syndicate of the university of cambridge A catalog record for this book is available from the British Library.

Properties of Technical Efficiency Estimators in the Stochastic Frontier Model

The estimation of frontier cost and production functions has been given impetus by the introduction of the stochastic frontier.’ This model is distinguished by a disturbance term composed of two parts a one-sided component, non-positive for production functions and non-negative for cost functions, representing the degree of inefficiency, and a symmetric component representing the usual statisti...

Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran