IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v20y2001i5p417-429.html
   My bibliography  Save this article

Estimating school efficiency: A comparison of methods using simulated data

Author

Listed:
  • Bifulco, Robert
  • Bretschneider, Stuart

Abstract

No abstract is available for this item.

Suggested Citation

  • Bifulco, Robert & Bretschneider, Stuart, 2001. "Estimating school efficiency: A comparison of methods using simulated data," Economics of Education Review, Elsevier, vol. 20(5), pages 417-429, October.
  • Handle: RePEc:eee:ecoedu:v:20:y:2001:i:5:p:417-429
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272-7757(00)00025-X
    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. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    2. Ondrich, Jan & Ruggiero, John, 2001. "Efficiency measurement in the stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 129(2), pages 434-442, March.
    3. Kirjavainen, Tanja & Loikkanent, Heikki A., 1998. "Efficiency differences of finnish senior secondary schools: An application of DEA and Tobit analysis," Economics of Education Review, Elsevier, vol. 17(4), pages 377-394, October.
    4. Barrow, Michael M., 1991. "Measuring local education authority performance: A frontier approach," Economics of Education Review, Elsevier, vol. 10(1), pages 19-27, March.
    5. A. Bessent & W. Bessent & J. Kennington & B. Reagan, 1982. "An Application of Mathematical Programming to Assess Productivity in the Houston Independent School District," Management Science, INFORMS, vol. 28(12), pages 1355-1367, December.
    6. Deller, Steven C. & Rudnicki, Edward, 1993. "Production efficiency in elementary education: The case of Maine public schools," Economics of Education Review, Elsevier, vol. 12(1), pages 45-57, March.
    7. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    8. Subhash C. Ray, 1991. "Resource-Use Efficiency in Public Schools: A Study of Connecticut Data," Management Science, INFORMS, vol. 37(12), pages 1620-1628, December.
    9. Richards, Craig E. & Sheu, Tian Ming, 1992. "The South Carolina school incentive reward program: A policy analysis," Economics of Education Review, Elsevier, vol. 11(1), pages 71-86, March.
    10. Levin, Henry M., 1997. "Raising school productivity: An x-efficiency approach," Economics of Education Review, Elsevier, vol. 16(3), pages 303-311, June.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    13. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    14. Ruggiero, John & Bretschneider, Stuart, 1998. "The weighted Russell measure of technical efficiency," European Journal of Operational Research, Elsevier, vol. 108(2), pages 438-451, July.
    15. 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.
    16. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    17. Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, vol. 16(3), pages 313-327, June.
    18. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May.
    19. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    20. Rolf Färe & Shawna Grosskopf & William L. Weber, 1989. "Measuring School District Performance," Public Finance Review, , vol. 17(4), pages 409-428, October.
    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. Becerra, Ligia Melo, 2004. "Intergovernmental fiscal relations : the Colombian case," Economics PhD Theses 0304, Department of Economics, University of Sussex.
    2. repec:spr:annopr:v:250:y:2017:i:1:d:10.1007_s10479-015-2074-3 is not listed on IDEAS
    3. Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2013. "A multilevel decomposition of school performance using robust nonparametric frontier techniques," Economics of Education Review, Elsevier, vol. 32(C), pages 104-121.
    4. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2015. "Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 244(2), pages 511-518.
    5. Ruggiero, John, 2006. "Measurement error, education production and data envelopment analysis," Economics of Education Review, Elsevier, vol. 25(3), pages 327-333, June.
    6. Giuseppe Coco & Raffaele Lagravinese, 2012. "Incentive Effects on Efficiency in Education Systems’ Performance," Working Papers 270, ECINEQ, Society for the Study of Economic Inequality.
    7. repec:pal:jorsoc:v:58:y:2007:i:8:d:10.1057_palgrave.jors.2602213 is not listed on IDEAS
    8. Ruggiero, John, 2003. "Comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 631-634, December.
    9. Claudio Thieme & Diego Prior & Víctor Giménez & Emili Tortosa-Ausina, 2011. "Desempeño de los centros educativos: ¿un problema de recursos o capacidades organizativas?," Hacienda Pública Española, IEF, vol. 199(4), pages 81-118, December.
    10. Gimenez, Victor M. & Martinez, Jose Luis, 2006. "Cost efficiency in the university: A departmental evaluation model," Economics of Education Review, Elsevier, vol. 25(5), pages 543-553, October.
    11. Azadeh, A. & Ghaderi, S.F. & Omrani, H. & Eivazy, H., 2009. "An integrated DEA-COLS-SFA algorithm for optimization and policy making of electricity distribution units," Energy Policy, Elsevier, vol. 37(7), pages 2605-2618, July.
    12. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.
    13. David J. Mayston, 2015. "Data envelopment analysis, endogeneity and the quality frontier for public services," Discussion Papers 15/05, Department of Economics, University of York.
    14. De Witte, Kristof & Rogge, Nicky, 2011. "Accounting for exogenous influences in performance evaluations of teachers," Economics of Education Review, Elsevier, vol. 30(4), pages 641-653, August.
    15. Bifulco, Robert & Bretschneider, Stuart, 2003. "Response to comment on estimating school efficiency," Economics of Education Review, Elsevier, vol. 22(6), pages 635-638, December.

    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:ecoedu:v:20:y:2001:i:5:p:417-429. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.