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Efficiency measurement in the Spanish cadastral units through DEA

  • José Manuel Cordero Ferrera

    ()

    (Universidad de Extremadura)

  • Francisco Pedraja Chaparro

    ()

    (Universidad de Extremadura)

  • Javier Salinas Jiménez

    ()

    (Universidad Complutense de Madrid)

Registered author(s):

    This paper proposes an approach to measure efficiency of a set of units operating in an administrative public service, namely real estate cadastral offices, which have not been analysed previously. This study has been made possible thanks to the database provided by the Directorate General of Real Estate Cadastral Assessment which includes information on the 52 local offices in Spain for the period between 2000 and 2005. Data Envelopment Analysis has been used to estimate the efficiency levels of these offices. Subsequently, a second stage model based on bootstrap techniques is applied in order to identify other potential factors (differences in management techniques, demographic and economic variables, etc.) that may affect the estimated efficiency measures.

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    File URL: http://ieb.ub.edu/aplicacio/fitxers/2009/12/Doc2009-35.pdf
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    Paper provided by Institut d'Economia de Barcelona (IEB) in its series Working Papers with number 2009/35.

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    Length: 27 pages
    Date of creation: 2009
    Date of revision:
    Handle: RePEc:ieb:wpaper:2009/12/doc2009-35
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    1. SIMAR, Léopold & WILSON, Paul W., 1997. "Some problems with the Ferrier/Hirschberg bootstrap idea," CORE Discussion Papers 1997062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Paul H. Jensen & Robin E. Stonecash, 2005. "Incentives and the Efficiency of Public Sector-outsourcing Contracts," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 767-787, December.
    3. Afonso, António & St. Aubyn, Miguel, 2005. "Cross-country efficiency of secondary education provision: a semi-parametric analysis with non-discretionary inputs," Working Paper Series 0494, European Central Bank.
    4. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
    5. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    6. Paul H. Jensen & Robin E. Stonecash, 2004. "The Efficiency of Public Sector Outsourcing Contracts: A Literature Review," Melbourne Institute Working Paper Series wp2004n29, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    11. Finn R. Førsund & Sverre A.C. Kittelsen & Frode Lindseth & Dag Fjeld Edvardsen, 2006. "The Tax Man Cometh - But is he Efficient?," National Institute Economic Review, National Institute of Economic and Social Research, vol. 197(1), pages 106-119, January.
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