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The Economic Research Institute, Stockholm School of Economics SSE/EFI Working Paper Series in Economics and Finance

No 204:
Bootstrapping the Malmquist Productivity Index: A Simulation Study

Mickael Löthgren ()

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; (follow links to similar papers)

JEL-Codes: C14; C15; D24; (follow links to similar papers)

10 pages, November 4, 1997, Revised November 8, 1997

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This paper is published as:
Löthgren, Mickael, (1999), 'Bootstrapping the Malmquist Productivity Index: A Simulation Study', Applied Economics Letters, Vol. 6, pages 707-710



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