On the Consistency of the DEA-based Average Technical Efficiency Bootstrap

Mickael Löthgren ()
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Mickael Löthgren: Dept. of Economic Statistics, Stockholm School of Economics, Postal: Stockholm School of Economics, P.O. Box 6501, S-113 83 Stockholm, Sweden

No 179, SSE/EFI Working Paper Series in Economics and Finance from Stockholm School of Economics

Abstract: This paper shows that the bootstrap algorithm for average technical efficiency by Atkinson and Wilson (1995) should be applied with great care for the Data Envelopment Analysis (DEA) estimator if the production frontier is stochastic. A stochastic frontier implies that the DEA estimator is inconsistent, which in turn leads to inconsistent and potentially highly misleading bootstrap confidence intervals. A Monte Carlo simulation study reveals that the bootstrap confidence interval coverage accuracy goes to zero as the sample size increases, even for small contributions of frontier variance to total frontier and efficiency variance.

Keywords: Bootstrap confidence intervals; Consistency; Data Envelopment Analysis; Distance function; Monte Carlo simulation; Stochastic frontier (search for similar items in EconPapers)
JEL-codes: C14 C15 C21 D24 (search for similar items in EconPapers)
Pages: 14 pages
Date: 1997-08-05
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Published in Applied Economics Letters, 2000, pages 53-57.

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:hastef:0179

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