Bootstrapping the Malmquist Productivity Index: A Simulation Study

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 204, SSE/EFI Working Paper Series in Economics and Finance from Stockholm School of Economics

Abstract: This paper presents a Monte Carlo simulation study of the bootstrap algorithm proposed by Löthgren and Tambour (1997) for calculation of bootstrap confidence intervals for the firm-specific Data Envelopment Analysis (DEA) Malmquist productivity index. The simulation results indicate that the coverage accuracy of bootstrap confidence intervals are near the nominal confidence level for small to moderate sized samples. For larger sample sizes, a clear converges of empirical to nominal levels are found.

Keywords: Bootstrap; Confidence Intervals; Data Envelopment Analysis; Malmquist Productivity Index; Monte Carlo Simulation (search for similar items in EconPapers)
JEL-codes: C14 C15 D24 (search for similar items in EconPapers)
Pages: 10 pages
Date: 1997-11-04, Revised 1997-11-08
New Economics Papers: this item is included in nep-cmp and nep-eff
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Published in Applied Economics Letters, 1999, pages 707-710.

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:hastef:0204

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