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

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

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File URL: http://www.wu-wien.ac.at/inst/vw1/papers/wu-wp58.pdf
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Publisher Info
Paper provided by Vienna University of Economics and B.A., Department of Economics in its series Department of Economics Working Papers with number wuwp058.

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Date of creation: Jun 1998
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Handle: RePEc:wiw:wiwwuw:wuwp058

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Related research
Keywords: 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; Capital and Total Factor Productivity; Capacity
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods

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This page was last updated on 2009-12-2.

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