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Measuring the Efficiency of Brazilian Courts from 2006 to 2008: What Do the Numbers Tell Us?

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  • Luciana Yeung
  • Paulo Furquim de Azevedo

Abstract

This paper uses a linear optimization method called Data Envelopment Analysis (DEA) to measure the efficiency of Brazilian State Courts during the years of 2006 to 2008. Our results show that relative efficiency varies substantially across the states. There is a group of courts that consistently top performs in the sample. On the other hand, there is a group of consistent poor performers, as well a group of average performers. Yet, the biggest problem seems to be with a group of State Courts with very unstable results, which might indicate serious problems in data collection and/or measurement. DEA also shows that the lack of resources should not be pointed as the main reason for inefficiency, since inefficient courts could improve the number of adjudications without changing the level of resources employed.

Suggested Citation

  • Luciana Yeung & Paulo Furquim de Azevedo, 2011. "Measuring the Efficiency of Brazilian Courts from 2006 to 2008: What Do the Numbers Tell Us?," Business and Economics Working Papers 136, Unidade de Negocios e Economia, Insper.
    • Handle: RePEc:aap:wpaper:136
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    1. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, March.
    2. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    3. Thierry Post, 2001. "Performance Evaluation in Stochastic Environments Using Mean-Variance Data Envelopment Analysis," Operations Research, INFORMS, vol. 49(2), pages 281-292, April.
    4. World Bank, 2004. "Making Justice Count : Measuring and Improving Judicial Performance in Brazil," World Bank Publications - Reports 14950, The World Bank Group.
    5. Souza, Geraldo da Silva e, 2001. "Statistical properties of data envelopment analysis estimators of production functions," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(2), November.
    6. 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.
    7. Beenstock, Michael & Haitovsky, Yoel, 2004. "Does the appointment of judges increase the output of the judiciary?," International Review of Law and Economics, Elsevier, vol. 24(3), pages 351-369, September.
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    Cited by:

    1. Francesco Aiello & Graziella Bonanno & Francesco Foglia, 2021. "On The Heterogeneity In The Judicial Efficiency Literature: A Meta-Regression Analysis," Working Papers 202102, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.

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