Small Sample Performance of Two Approaches to Technical Efficiency Estimation with Multiple Outputs

Dieter Gstach ()
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Dieter Gstach: Department of Economics, Vienna University of Economics & B.A.

Department of Economics Working Papers from Vienna University of Economics and Business, Department of Economics

Abstract: This 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.

Keywords: Stochastic DEA; Ray Frontier Approach; Multiple Outputs; Monte-Carlo Analysis; Frontier Estimation; Efficiency Estimation (search for similar items in EconPapers)
JEL-codes: C15 D24 (search for similar items in EconPapers)
Date: 1998-06
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