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Methodological Advances in Dea

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  • Cherchye, L.
  • Post, G.T.

Abstract

We survey the methodological advances in DEA over the last 25 years and discuss the necessary conditions for a sound empirical application. We hope this survey will contribute to the further dissemination of DEA, the knowledge of its relative strengths and weaknesses, and the tools currently available for exploiting its full potential. Our main points are illustrated by the case of the DEA study used by the regulatory office of the Dutch electricity sector (Dienst Toezicht Elektriciteitswet; Dte) for setting price caps.

Suggested Citation

  • Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:115
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    Cited by:

    1. Herrera, Santiago & Pang, Gaobo, 2005. "Efficiency of public spending in developing countries : an efficiency frontier approach," Policy Research Working Paper Series 3645, The World Bank.
    2. Santiago Herrera & Gaobo Pang, 2006. "How Efficient is Public Spending in Education?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 24(51), pages 136-201, June.
    3. António Afonso & Alma Romero & Emma Monsalve, 2013. "Public sector efficiency: evidence for Latin America," Working Papers Department of Economics 2013/20, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    4. Brown, Rayna, 2006. "Mismanagement or mismeasurement? Pitfalls and protocols for DEA studies in the financial services sector," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1100-1116, October.
    5. Elie Appelbaum & Ulrich Kohli, 1997. "Import Price Uncertainty And The Distribution Of Income," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 620-630, November.
    6. Pereira de Souza, Marcus Vinicius & Souza, Reinaldo C. & Pessanha, José Francisco M. & da Costa Oliveira, Carlos Henrique & Diallo, Madiagne, 2014. "An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 169-174.
    7. Elie Appelbaum & Aman Ullah, 1997. "Estimation Of Moments And Production Decisions Under Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 631-637, November.
    8. Santiago Herrera & Gaobo Pang, 2008. "Eficiency of Infrastructure: The Case of Container Ports," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 9(1), pages 165-194.
    9. repec:bdr:ensayo:v::y:2006:i:51:p:136-201 is not listed on IDEAS
    10. Lins, Marcos Pereira Estellita & Sollero, Maria Karla Vervloet & Caloba, Guilherme Marques & da Silva, Angela Cristina Moreira, 2007. "Integrating the regulatory and utility firm perspectives, when measuring the efficiency of electricity distribution," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1413-1424, September.

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    More about this item

    Keywords

    data envelopment analysis (DEA); efficiency and productivity analysis; electricity distribution; methodological advances;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • G3 - Financial Economics - - Corporate Finance and Governance
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics

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