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Efficiency Estimates For Judicial Services In Brazil: Nonparametric Fdh (Free Disposal Hull) And The Expected Order- M Efficiency Scores For Rio Grande Do Sul Courts´

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  • Maria da Conceição Sampaio de Sousa
  • Silvane Battaglin Schwengber

Abstract

In this paper we have attempted to appraise, quantitatively, the efficiency levels of the justice courts in Rio Grande do Sul. For that purpose, we analyzed the relationship between output and inputs by constructing nonparametric efficiency frontiers.Two different techniques of efficiency analysis were used to determine this frontier: the FDH approach and the order-m frontier. Our results provided useful insights into the assessment of the administrative efficiency of courts. The expected order-m frontier produces more reliable results as it is not affected by the curse of dimensionality as is the case of most nonparametric measurements. We show also that efficiency losses are particularly important for small courts, thus suggesting the presence of economies of scale. Due to their size, smaller courts do not explore the economies of scale in the production of justice services. They tend to use relatively more resources, as they do not benefit from the specialization, found out in larger courts. This can be inferred by the estimated substantial reducible backlog that characterizes those courts. This is a quite robust result, supported by both methodologies.

Suggested Citation

  • Maria da Conceição Sampaio de Sousa & Silvane Battaglin Schwengber, 2005. "Efficiency Estimates For Judicial Services In Brazil: Nonparametric Fdh (Free Disposal Hull) And The Expected Order- M Efficiency Scores For Rio Grande Do Sul Courts´," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 053, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2005:053
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    File URL: http://www.anpec.org.br/encontro2005/artigos/A05A053.pdf
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    References listed on IDEAS

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    1. Simar, L., 1991. "Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with boot strapping," CORE Discussion Papers 1991026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
    3. repec:cor:louvrp:-571 is not listed on IDEAS
    4. 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.
    5. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    6. Lewin, Arie Y & Morey, Richard C & Cook, Thomas J, 1982. "Evaluating the administrative efficiency of courts," Omega, Elsevier, vol. 10(4), pages 401-411.
    7. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    8. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December.
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    Cited by:

    1. Stefan Voigt, 2016. "Determinants of judicial efficiency: a survey," European Journal of Law and Economics, Springer, vol. 42(2), pages 183-208, October.

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • H4 - Public Economics - - Publicly Provided Goods
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations

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