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Statistical precision of DEA: a bootstrap application to Spanish public services

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  • X. M. Gonzalez
  • D. Miles

Abstract

The aim of this paper is to discuss how the efficiency conclusions obtained from DEA are affected when they are complemented with bootstrap confidence intervals. Bootstrap approximations to DEA estimator distribution functions have not been practically used in empirical analysis, despite being an important statistical tool to discuss the sensitivity of the efficiency point estimator.

Suggested Citation

  • X. M. Gonzalez & D. Miles, 2002. "Statistical precision of DEA: a bootstrap application to Spanish public services," Applied Economics Letters, Taylor & Francis Journals, vol. 9(2), pages 127-132.
    • Handle: RePEc:taf:apeclt:v:9:y:2002:i:2:p:127-132
    DOI: 10.1080/13504850110050719
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    1. repec:bla:jecsur:v:13:y:1999:i:2:p:149-72 is not listed on IDEAS
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    Cited by:

    1. Lamb, John D. & Tee, Kai-Hong, 2012. "Resampling DEA estimates of investment fund performance," European Journal of Operational Research, Elsevier, vol. 223(3), pages 834-841.
    2. Tortosa-Ausina, Emili & Grifell-Tatje, Emili & Armero, Carmen & Conesa, David, 2008. "Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1062-1084, February.
    3. Olson, Kent D. & Vu, Linh, 2009. "Productivity Growth, Technical Efficiency and Technical Change on Minnesota Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49204, Agricultural and Applied Economics Association.
    4. A. Assaf & K. M. Matawie, 2010. "A bootstrapped metafrontier model," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 613-617.
    5. Maria Alberta Oliveira & Carlos Santos, 2005. "Assessing school efficiency in Portugal using FDH and bootstrapping," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 957-968.

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