IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v80y1995i3p608-618.html
   My bibliography  Save this article

On the relative efficiency of alternative modes of producing a public sector output: The case of the developmentally disabled

Author

Listed:
  • Dusansky, Richard
  • Wilson, Paul W.

Abstract

No abstract is available for this item.

Suggested Citation

  • Dusansky, Richard & Wilson, Paul W., 1995. "On the relative efficiency of alternative modes of producing a public sector output: The case of the developmentally disabled," European Journal of Operational Research, Elsevier, vol. 80(3), pages 608-618, February.
  • Handle: RePEc:eee:ejores:v:80:y:1995:i:3:p:608-618
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0377-2217(94)00140-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. George W. Wilson & Joseph M. Jadlow, 1982. "Competition, Profit Incentives, and Technical Efficiency in the Provision of Nuclear Medicine Services," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 472-482, Autumn.
    2. Timmer, C P, 1971. "Using a Probabilistic Frontier Production Function to Measure Technical Efficiency," Journal of Political Economy, University of Chicago Press, vol. 79(4), pages 776-794, July-Aug..
    3. 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.
    4. Tulkens, H. & Vanden Eeckaut, Ph., 1991. "Non-frontier measures of efficiency, progress and regress," LIDAM Discussion Papers CORE 1991055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Nyman, John A & Bricker, Dennis L, 1989. "Profit Incentives and Technical Efficiency in the Production of Nursing Home Care," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 586-594, November.
    6. Charnes, A. & Neralic, L., 1990. "Sensitivity analysis of the additive model in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 48(3), pages 332-341, October.
    7. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    8. Fare, R. & Grosskopf, S. & Lovell, C. A. K., 1988. "An indirect approach to the evaluation of producer performance," Journal of Public Economics, Elsevier, vol. 37(1), pages 71-89, October.
    9. Aly, Hassan Y, et al, 1990. "Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 211-218, May.
    10. Seaver, Bill L & Triantis, Konstantinos P, 1989. "The Implications of Using Messy Data to Estimate Production-Frontier-Based Technical Efficiency Measures," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 49-59, January.
    11. Grosskopf, S. & Valdmanis, V., 1987. "Measuring hospital performance : A non-parametric approach," Journal of Health Economics, Elsevier, vol. 6(2), pages 89-107, June.
    12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ruiz, Jose L. & Sirvent, Inmaculada, 2001. "Techniques for the assessment of influence in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 390-399, July.
    2. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
    3. Pastor, Jesus T. & Ruiz, Jose L. & Sirvent, Inmaculada, 1999. "A statistical test for detecting influential observations in DEA," European Journal of Operational Research, Elsevier, vol. 115(3), pages 542-554, June.
    4. Bill Seaver & Konstantinos Triantis & Barbara Hoopes, 2004. "Efficiency Performance and Dominance in Influential Subsets: An Evaluation using Fuzzy Clustering and Pair-wise Dominance," Journal of Productivity Analysis, Springer, vol. 21(2), pages 201-220, March.
    5. Pereira de Souza, Marcus Vinicius & Souza, Reinaldo C. & Pessanha, José Francisco M. & da Costa Oliveira, Carlos Henrique & Diallo, Madiagne, 2014. "An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 169-174.
    6. Mamiza Haq & Michael Skully & Shams Pathan, 2010. "Efficiency of Microfinance Institutions: A Data Envelopment Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 17(1), pages 63-97, March.
    7. Khezrimotlagh, Dariush & Cook, Wade D. & Zhu, Joe, 2020. "A nonparametric framework to detect outliers in estimating production frontiers," European Journal of Operational Research, Elsevier, vol. 286(1), pages 375-388.

    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. Valentina Bosetti & Mariaester Cassinelli & Alessandro Lanza, 2006. "Benchmarking in Tourism Destination, Keeping in Mind the Sustainable Paradigm," Working Papers 2006.12, Fondazione Eni Enrico Mattei.
    2. Valentina Bosetti & Gianni Locatelli, 2006. "A data envelopment analysis approach to the assessment of natural parks' economic efficiency and sustainability. The case of Italian national parks," Sustainable Development, John Wiley & Sons, Ltd., vol. 14(4), pages 277-286.
    3. Thompson, Russell G. & Brinkmann, Emile J. & Dharmapala, P. S. & Gonzalez-Lima, M. D. & Thrall, Robert M., 1997. "DEA/AR profit ratios and sensitivity of 100 large U.S. banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 213-229, April.
    4. Pastor, Jesus T. & Ruiz, Jose L. & Sirvent, Inmaculada, 1999. "A statistical test for detecting influential observations in DEA," European Journal of Operational Research, Elsevier, vol. 115(3), pages 542-554, June.
    5. Reuben Elan & Verma Bharat Bhushan & Bhat Ramesh, 2001. "Hospital Efficiency: An Empirical Analysis of District and Grant-in-Aid Hospitals in Gujarat," IIMA Working Papers WP2001-07-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    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. Zijiang Yang & Xiaogang Wang & Dongming Sun, 2010. "Using the bootstrap method to detect influential DMUs in data envelopment analysis," Annals of Operations Research, Springer, vol. 173(1), pages 89-103, January.
    8. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    9. Miki Tsutsui & Kaoru Tone, 2007. "Separation of uncontrollable factors and time shift effects from DEA scores," GRIPS Discussion Papers 07-09, National Graduate Institute for Policy Studies.
    10. Chang, Hsi-Hui, 1998. "Determinants of Hospital Efficiency: the Case of Central Government-owned Hospitals in Taiwan," Omega, Elsevier, vol. 26(2), pages 307-317, April.
    11. Yang, Hongliang & Pollitt, Michael, 2009. "Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1095-1105, September.
    12. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
    13. Ayhan Aydın, 2022. "Benchmarking healthcare systems of OECD countries: A DEA - based Malmquist Productivity Index Approach," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(1), pages 25-40, June.
    14. Chang, Hsihui & Cheng, Mei-Ai & Das, Somnath, 2004. "Hospital ownership and operating efficiency: Evidence from Taiwan," European Journal of Operational Research, Elsevier, vol. 159(2), pages 513-527, December.
    15. Banker, Rajiv D. & Chang, Hsihui, 1995. "A simulation study of hypothesis tests for differences in efficiencies," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 37-54, April.
    16. Sarker, Debnarayan & De, Sudpita, 2004. "High Technical Efficiency of Farms in Two Different Agricultural Lands: A Study under Deterministic Production Frontier Approach," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 59(2), pages 1-12.
    17. Herbert F. Lewis & Thomas R. Sexton & Kathleen A. Lock, 2007. "Player Salaries, Organizational Efficiency, and Competitiveness in Major League Baseball," Journal of Sports Economics, , vol. 8(3), pages 266-294, June.
    18. Ozcan, Yasar A., 1995. "Efficiency of hospital service production in local markets: The balance sheet of U.S. medical armament," Socio-Economic Planning Sciences, Elsevier, vol. 29(2), pages 139-150, June.
    19. Kuosmanen, Timo & Post, Thierry & Scholtes, Stefan, 2007. "Non-parametric tests of productive efficiency with errors-in-variables," Journal of Econometrics, Elsevier, vol. 136(1), pages 131-162, January.
    20. Burki, Abid A. & Terrell, Dek, 1998. "Measuring production efficiency of small firms in Pakistan," World Development, Elsevier, vol. 26(1), pages 155-169, January.

    More about this item

    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:eee:ejores:v:80:y:1995:i:3:p:608-618. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.