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

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  • Yeung, Luciana
  • Azevedo, Paulo Furquim

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  • Yeung, Luciana & Azevedo, Paulo Furquim, 2011. "Measuring the Efficiency of Brazilian Courts from 2006 to 2008: What Do the Numbers Tell Us?," Insper Working Papers wpe_251, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    • Handle: RePEc:ibm:ibmecp:wpe_251
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    File URL: http://www.insper.edu.br/wp-content/uploads/2012/10/2011_wpe251.pdf
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. World Bank, 2004. "Making Justice Count : Measuring and Improving Judicial Performance in Brazil," World Bank Publications - Reports 14950, The World Bank Group.
    5. Thierry Post, 2001. "Performance Evaluation in Stochastic Environments Using Mean-Variance Data Envelopment Analysis," Operations Research, INFORMS, vol. 49(2), pages 281-292, April.
    6. 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.
    7. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
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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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