IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v221y2014i1p47-7110.1007-s10479-011-0836-0.html
   My bibliography  Save this article

Performance measurement in nonprofit governance: an empirical study of the Minnesota independent school districts

Author

Listed:
  • Rajiv Banker
  • Hsihui Chang
  • Ehsan Feroz

Abstract

Linearity and input separability assumptions are pervasive in most nonprofit cost and performance measurement systems. In this paper, we employ both parametric and nonparametric econometric methodologies to test the linearity and input separability assumptions using data collected from the Minnesota independent school districts. Our test results reject both the assumptions for the Minnesota independent school districts. These findings suggest a need to develop alternative procedures that do not rely on these two pervasive assumptions if the information provided by not-for-profit performance measurement systems is to be relevant for decision making and performance evaluation. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Rajiv Banker & Hsihui Chang & Ehsan Feroz, 2014. "Performance measurement in nonprofit governance: an empirical study of the Minnesota independent school districts," Annals of Operations Research, Springer, vol. 221(1), pages 47-71, October.
    • Handle: RePEc:spr:annopr:v:221:y:2014:i:1:p:47-71:10.1007/s10479-011-0836-0
    DOI: 10.1007/s10479-011-0836-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-011-0836-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10479-011-0836-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Ali Emrouznejad & Rajiv Banker, 2010. "Efficiency and productivity: theory and applications," Annals of Operations Research, Springer, vol. 173(1), pages 1-3, January.
    2. Gyimah-Brempong, Kwabena & Gyapong, Anthony O., 1992. "Elasticities of factor substitution in the production of education," Economics of Education Review, Elsevier, vol. 11(3), pages 205-217, September.
    3. Mike Smet & Walter Nonneman, 1998. "Economies of scale and scope in Flemish secondary schools," Applied Economics, Taylor & Francis Journals, vol. 30(9), pages 1251-1258.
    4. Pierre Ouellette & Valérie Vierstraete, 2010. "Malmquist indexes with quasi-fixed inputs: an application to school districts in Québec," Annals of Operations Research, Springer, vol. 173(1), pages 57-76, January.
    5. Banker, Rajiv D. & Janakiraman, Surya & Natarajan, Ram, 2004. "Analysis of trends in technical and allocative efficiency: An application to Texas public school districts," European Journal of Operational Research, Elsevier, vol. 154(2), pages 477-491, April.
    6. Noreen, Eric & Noreen, Eric & Soderstrom, Naomi, 1994. "Are overhead costs strictly proportional to activity? : Evidence from hospital departments," Journal of Accounting and Economics, Elsevier, vol. 17(1-2), pages 255-278, January.
    7. Schmidt, Peter, 1976. "On the Statistical Estimation of Parametric Frontier Production Functions," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 238-239, May.
    8. Peter Bogetoft, 1994. "Incentive Efficient Production Frontiers: An Agency Perspective on DEA," Management Science, INFORMS, vol. 40(8), pages 959-968, August.
    9. Banker, Rajiv D. & Chang, Hsihui & Cunningham, Reba, 2003. "The public accounting industry production function," Journal of Accounting and Economics, Elsevier, vol. 35(2), pages 255-281, June.
    10. Alejandra Mizala & Pilar Romaguera & Dario Farren, 2002. "The technical efficiency of schools in Chile," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1533-1552.
    11. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
    12. 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.
    13. Sengupta, Jati K. & Sfeir, Raymond E., 1986. "Production frontier estimates of scale in public schools in California," Economics of Education Review, Elsevier, vol. 5(3), pages 297-307, June.
    14. Masako N. Darrough, 1988. "Variance analysis: A unifying cost function approach," Contemporary Accounting Research, John Wiley & Sons, vol. 5(1), pages 199-221, September.
    15. 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.
    16. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    17. Cohn, Elchanan & Rhine, Sherrie L W & Santos, Maria C, 1989. "Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 284-290, May.
    18. Banker, Rajiv D. & Chang, Hsihui & Lee, Seok-Young, 2010. "Differential impact of Korean banking system reforms on bank productivity," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1450-1460, July.
    19. 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.
    20. Caves, Douglas W & Christensen, Laurits R, 1980. "Global Properties of Flexible Functional Forms," American Economic Review, American Economic Association, vol. 70(3), pages 422-432, June.
    21. Othman Joumady & Catherine Ris, 2005. "Performance in European higher education: A non-parametric production frontier approach," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 189-205.
    22. 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.
    23. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1999. "Anticipating the Consequences of School Reform: A New Use of DEA," Management Science, INFORMS, vol. 45(4), pages 608-620, April.
    24. Hsihui Chang & Raj Mashruwala, 2006. "Was the bell system a natural monopoly? An application of data envelopment analysis," Annals of Operations Research, Springer, vol. 145(1), pages 251-263, July.
    25. ZELLNER, Arnold & KMENTA, Jan & DREZE, Jacques H., 1966. "Specification and estimation of Cobb-Douglas production function models," LIDAM Reprints CORE 12, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    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. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    2. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    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. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    5. Brennan, Shae & Haelermans, Carla & Ruggiero, John, 2014. "Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools," European Journal of Operational Research, Elsevier, vol. 234(3), pages 809-818.
    6. Banker, Rajiv D. & Janakiraman, Surya & Natarajan, Ram, 2004. "Analysis of trends in technical and allocative efficiency: An application to Texas public school districts," European Journal of Operational Research, Elsevier, vol. 154(2), pages 477-491, April.
    7. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    8. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    9. M. C. Portela & A. S. Camanho, 2007. "Performance Assessment of Portuguese Secondary Schools," Working Papers de Economia (Economics Working Papers) 07, Católica Porto Business School, Universidade Católica Portuguesa.
    10. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    11. Silva Portela, Maria Conceicao A. & Thanassoulis, Emmanuel, 2001. "Decomposing school and school-type efficiency," European Journal of Operational Research, Elsevier, vol. 132(2), pages 357-373, July.
    12. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    13. Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    14. Liu, An-Chi & Kuo, Shew-Huei & Guo, Chao-Ling & Li, Yang, 2024. "Sustainable finance analysis of commercial banks in China," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    15. Banker, Rajiv D. & Chang, Hsihui & Lee, Seok-Young, 2010. "Differential impact of Korean banking system reforms on bank productivity," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1450-1460, July.
    16. John Ruggiero & Donald F. Vitaliano, 1999. "Assessing The Efficiency Of Public Schools Using Data Envelopment Analysis And Frontier Regression," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 321-331, July.
    17. 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.
    18. Voigt, Peter, 2004. "Russlands Weg vom Plan zum Markt: Sektorale Trends und regionale Spezifika. Eine Analyse der Produktivitäts- und Effizienzentwicklungen in der Transformationsphase," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 28, number 93021.
    19. Imad Bou-Hamad & Abdel Latef Anouze & Denis Larocque, 2017. "An integrated approach of data envelopment analysis and boosted generalized linear mixed models for efficiency assessment," Annals of Operations Research, Springer, vol. 253(1), pages 77-95, June.
    20. Andrea Bonaccorsi & Cinzia Daraio & Leopold Simar, 2014. "Efficiency and economies of scale and scope in European universities. A directional distance approach," DIAG Technical Reports 2014-08, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".

    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:spr:annopr:v:221:y:2014:i:1:p:47-71:10.1007/s10479-011-0836-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.