Small Sample Performance of Two Approaches to Technical Efficiency Estimation with Multiple Outputs
AbstractThis paper provides simulation evidence concerning some statistical properties of two different approaches to technical efficiency estimation for multiple-output production under noisy conditions: The Ray Frontier Approach (RFA) from Löthgren (1997) DEA+ proposed in Gstach (1996). RFA, unlike earlier approaches in the realm of stochastic frontier analysis, is capable of efficiency estimation in the case of multiple outputs as well and lends itself for comparison with DEA+. Several settings with varying sample sizes, noise to signal ratios and mean inefficiencies are investigated.
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Bibliographic InfoPaper provided by Vienna University of Economics, Department of Economics in its series Department of Economics Working Papers with number wuwp058.
Date of creation: Jun 1998
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Stochastic DEA; Ray Frontier Approach; Multiple Outputs; Monte-Carlo Analysis; Frontier Estimation; Efficiency Estimation;
Find related papers by JEL classification:
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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