IDEAS home Printed from https://ideas.repec.org/p/cap/mpaper/022016.html
   My bibliography  Save this paper

Output-specific inputs in DEA: an application to courts

Author

Listed:
  • Maria Conceição Portela

    (Católica Porto Business School and CEGE, Universidade Católica Portuguesa)

Abstract

This paper addresses the assessment of efficiency of production units in cases where some characteristics of the production process are known. In particular we focus on the existence of direct linkages between inputs and outputs, where certain outputs are produced from specific inputs and not jointly produced from all inputs. Our aim is to use and empirically compare alternative forms of reflecting the linkages between inputs and outputs. The alternatives to be compared to reflect the linkages between inputs and outputs are: the use of separate assessments; the use of ratios between linked outputs and inputs; and the use of differences between linked outputs and inputs. These alternatives are presented and contextualised within existing procedures for dealing with output-specific inputs, and results are discussed and illustrated empirically in the context of evaluating courts' efficiency.

Suggested Citation

  • Maria Conceição Portela, 2016. "Output-specific inputs in DEA: an application to courts," Working Papers de Gestão (Management Working Papers) 02, Católica Porto Business School, Universidade Católica Portuguesa.
    • Handle: RePEc:cap:mpaper:022016
    as

    Download full text from publisher

    File URL: http://www.feg.porto.ucp.pt/docentes/repec/WP/022016_Portela_Output_specific.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Posner, Richard A, 2000. "Is the Ninth Circuit Too Large? A Statistical Study of Judicial Quality," The Journal of Legal Studies, University of Chicago Press, vol. 29(2), pages 711-719, June.
    2. Färe, Rolf & Karagiannis, Giannis, 2014. "A postscript on aggregate Farrell efficiencies," European Journal of Operational Research, Elsevier, vol. 233(3), pages 784-786.
    3. Laurens Cherchye & Bram De Rock & Bart Dierynck & Filip Roodhooft & Jeroen Sabbe, 2013. "Opening the “Black Box” of Efficiency Measurement: Input Allocation in Multioutput Settings," Operations Research, INFORMS, vol. 61(5), pages 1148-1165, October.
    4. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
    5. M C A S Portela & A S Camanho, 2010. "Analysis of complementary methodologies for the estimation of school value added," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1122-1132, July.
    6. Rajiv D. Banker, 1992. "Selection of efficiency evaluation models," Contemporary Accounting Research, John Wiley & Sons, vol. 9(1), pages 343-355, September.
    7. Santos, Sérgio P. & Amado, Carla A.F., 2014. "On the need for reform of the Portuguese judicial system – Does Data Envelopment Analysis assessment support it?," Omega, Elsevier, vol. 47(C), pages 1-16.
    8. Martin Schneider, 2005. "Judicial Career Incentives and Court Performance: An Empirical Study of the German Labour Courts of Appeal," European Journal of Law and Economics, Springer, vol. 20(2), pages 127-144, September.
    9. Falavigna, Greta & Ippoliti, Roberto & Manello, Alessandro & Ramello, Giovanni B., 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 592-601.
    10. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    11. Podinovski, V. V., 2005. "Selective convexity in DEA models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 552-563, March.
    12. Cook, Wade D. & Hababou, Moez, 2001. "Sales performance measurement in bank branches," Omega, Elsevier, vol. 29(4), pages 299-307, August.
    13. Tsai, P. F. & Mar Molinero, C., 2002. "A variable returns to scale data envelopment analysis model for the joint determination of efficiencies with an example of the UK health service," European Journal of Operational Research, Elsevier, vol. 141(1), pages 21-38, August.
    14. Lewin, Arie Y & Morey, Richard C & Cook, Thomas J, 1982. "Evaluating the administrative efficiency of courts," Omega, Elsevier, vol. 10(4), pages 401-411.
    15. John Salerian & Chris Chan, 2005. "Restricting Multiple-Output Multiple-Input DEA Models by Disaggregating the Output–Input Vector," Journal of Productivity Analysis, Springer, vol. 24(1), pages 5-29, September.
    16. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2015. "Efficiency analysis with ratio measures," European Journal of Operational Research, Elsevier, vol. 245(2), pages 446-462.
    17. M C S Portela & A S Camanho & D Borges, 2012. "Performance assessment of secondary schools: the snapshot of a country taken by DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(8), pages 1098-1115, August.
    18. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    19. Thanassoulis, E. & Boussofiane, A. & Dyson, R. G., 1995. "Exploring output quality targets in the provision of perinatal care in England using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 80(3), pages 588-607, February.
    20. Ozren Despić & Mladen Despić & Joseph Paradi, 2007. "DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications," Journal of Productivity Analysis, Springer, vol. 28(1), pages 33-44, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Silva, Maria Conceição A., 2018. "Output-specific inputs in DEA: An application to courts of justice in Portugal," Omega, Elsevier, vol. 79(C), pages 43-53.
    2. Roets, Bart & Verschelde, Marijn & Christiaens, Johan, 2018. "Multi-output efficiency and operational safety: An analysis of railway traffic control centre performance," European Journal of Operational Research, Elsevier, vol. 271(1), pages 224-237.
    3. Walheer, Barnabe & Hudik, Marek, 2019. "Reallocation of resources in multidivisional firms: A nonparametric approach," International Journal of Production Economics, Elsevier, vol. 214(C), pages 196-205.
    4. Barnabé Walheer, 2019. "Disaggregation for efficiency analysis," Journal of Productivity Analysis, Springer, vol. 51(2), pages 137-151, June.
    5. Stefan Voigt, 2016. "Determinants of judicial efficiency: a survey," European Journal of Law and Economics, Springer, vol. 42(2), pages 183-208, October.
    6. Victor V. Podinovski & Ole Bent Olesen & Cláudia S. Sarrico, 2018. "Nonparametric Production Technologies with Multiple Component Processes," Operations Research, INFORMS, vol. 66(1), pages 282-300, January.
    7. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
    8. Barnabé Walheer, 2018. "Cost Malmquist productivity index: an output-specific approach for group comparison," Journal of Productivity Analysis, Springer, vol. 49(1), pages 79-94, February.
    9. Walheer, Barnabé, 2019. "Aggregating Farrell efficiencies with private and public inputs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1170-1177.
    10. Cherchye, Laurens & De Rock, Bram & Walheer, Barnabé, 2016. "Multi-output profit efficiency and directional distance functions," Omega, Elsevier, vol. 61(C), pages 100-109.
    11. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    12. Walheer, Barnabé, 2018. "Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs," Omega, Elsevier, vol. 75(C), pages 1-12.
    13. Walheer, Barnabé, 2019. "Malmquist productivity index for multi-output producers: An application to electricity generation plants," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 76-88.
    14. Dimitrova-Grajzl, Valentina & Grajzl, Peter & Slavov, Atanas & Zajc, Katarina, 2016. "Courts in a transition economy: Case disposition and the quantity–quality tradeoff in Bulgaria," Economic Systems, Elsevier, vol. 40(1), pages 18-38.
    15. Walheer, Barnabé, 2018. "Scale efficiency for multi-output cost minimizing producers: The case of the US electricity plants," Energy Economics, Elsevier, vol. 70(C), pages 26-36.
    16. Antonio Peyrache & Maria C. A. Silva, 2023. "Efficiency decomposition for multi-level multi-components production technologies," Journal of Productivity Analysis, Springer, vol. 60(3), pages 273-294, December.
    17. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    18. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    19. Gustavo Ferro & Victoria Oubiña & Carlos A. Romero, 2019. "Benchmarking Labor Courts: an Efficiency Frontier Analysis," Asociación Argentina de Economía Política: Working Papers 4140, Asociación Argentina de Economía Política.
    20. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.

    More about this item

    Keywords

    Efficiency measurement; output-specific inputs; government services; courts;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cap:mpaper:022016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ricardo Goncalves (email available below). General contact details of provider: https://edirc.repec.org/data/feucppt.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.