This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

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´

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
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.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.anpec.org.br/encontro2005/artigos/A05A053.pdf
File Format:
File Function:
Download Restriction: no

Publisher Info
Paper provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its series Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33th Brazilian Economics Meeting] with number 053.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2005
Date of revision:
Handle: RePEc:anp:en2005:053

Contact details of provider:
Postal: Secretaria da ANPEC Rua Tiradentes, 17 - Ingá Niterói, RJ 24210-510 Brazil
Phone: 55 21 2621 1802
Fax: 55-11-3091-6073
Email:
Web page: http://www.anpec.org.br
More information through EDIRC

Order Information:
Postal: Secretaria da ANPEC Rua Tiradentes, 17 - Ingá Niterói, RJ 24210-510 Brazil

For technical questions regarding this item, or to correct its listing, contact: (Hugo E. A. da Gama Cerqueira) The email address of this maintainer does not seem to be valid anymore. Please ask Hugo E. A. da Gama Cerqueira to update the entry or send us the correct address..

Related research
Keywords:

Find related papers by JEL classification:
C5 - Mathematical and Quantitative Methods - - Econometric Modeling
C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming
H4 - Public Economics - - Publicly Provided Goods
H7 - Public Economics - - State and Local Government; Intergovernmental Relations

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  2. 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. [Downloadable!] (restricted)
  3. Pedraja-Chaparro, Francisco & Salinas-Jimenez, Javier, 1996. "An Assessment of the Efficiency of Spanish Courts Using DEA," Applied Economics, Taylor and Francis Journals, vol. 28(11), pages 1391-1403, November. [Downloadable!] (restricted)
  4. 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. [Downloadable!] (restricted)
  5. Lewin, Arie Y & Morey, Richard C & Cook, Thomas J, 1982. "Evaluating the administrative efficiency of courts," Omega, Elsevier, vol. 10(4), pages 401-411. [Downloadable!] (restricted)
  6. 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. [Downloadable!]
  7. 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).
Full references

Statistics
Access and download statistics

Did you know? LogEc provides statistical analysis about downloads from this service (and others).

This page was last updated on 2009-12-13.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.