Abstract
The performance of decision making units (DMUs) that provide educational services has been a concern in the academic and policy arenas. The topic is of the utmost importance considering the amount of money that is devoted to this public sector activity. Recent reform initiatives have moved away from equity towards accountability and efficiency. Application of data envelopment analysis (DEA) to the education sector is natural given these recent concerns. Standard DEA models fail, however, due to the heterogeneity of DMUs arising from socioeconomic differences. Models suitable for application to education have been developed and will be discussed in this chapter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Banker, R.D., Charnes, A., and Cooper, W.W., 1984, Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science 30, 1078–1092.
Banker, R.D., and Morey, R., 1986, Efficiency Analysis for Exogenously Fixed Inputs and Outputs, Operations Research, 34, 513–521.
Bessent, A., Bessent, E.W., Charnes, A., Cooper, W.W., and Thorogood, N.C. (1983), Evaluation of Educational Program Proposals by Means of DEA, Educational Administration Quarterly, 19, 82–107.
Bessent, A., Bessent, E.W., Kennington, J. and Reagan, B., 1982, An Application of Mathematical Programming to Assess Productivity in the Houston Independent School District, Management Science, 28, 1335–1366.
Bradford, D., Malt, R. and Oates, W., 1969, The Rising Cost of Local Public Services: Some Evidence and Reflections, National Tax Journal 22, 185–202.
Bradley, S, Johnes, G. and Millington, J., 2001, The Effect of Competition on the Efficiency of Secondary Schools in England, European Journal of Operational Research, 135, 545–568.
Bridge, R., Judd, C., and Moock, P., 1979, The Determinants of Educational Outcomes, Ballinger Publishing, Cambridge, MA.+
Chalos, P., and Cherian, J., 1995, An Application of Data Envelopment Analysis to Public Sector Performance Measurement and Accountability, Journal of Accounting and Public Policy, 14, 143–160.
Charnes, A., Cooper, W.W., and Rhodes, E., 1978, Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2, 429–444.
Charnes, A., Cooper, W.W., and Rhodes, E, 1981, Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through, Management Science, 27, 668–697.
Chubb, J., and Moe, T., 1990, Politics, Markets and America’s Schools, Brookings Institute, Washington, DC.
Clotfelter, C., and Ladd, H., 1996, Recognizing and Rewarding Success in Public Schools, in Ladd, H. (Ed.), Holding Schools Accountable: Performance Based Reform in Education, Brookings Institute, Washington, DC, 23–64.
Cohn, E. and Geske, T., 1990, The Economics of Education, Pergamon Press, Oxford, England.
Duncombe, W., Miner, J., and J. Ruggiero, 1997, Empirical Evaluation ofBureaucratic Models of Inefficiency, Public Choice, 93, 1–18.
Duncombe, W., Ruggiero, J., and Yinger, J., 1996, Alternative Approaches to Measuring the Cost of Education, in Ladd, H. (Ed.), Holding Schools Accountable: Performance Based Reform in Education, Brookings Institute, Washington, DC, 327–356.
Färe, R., Grosskopf, S., and Weber, W., 1989, Measuring School District Performance, Public Finance Quarterly, 17, 409–428.
Farrell, M.J., 1957, The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A, 120, 253–281.
Farren, D., 2002, The Technical Efficiency of Schools in Chile, Applied Economics, 34, 1533–1542.
Fukuyama, H., and Weber, W., 2002, Evaluating Public School District Performance via DEA Gain Functions, Journal of the Operational Research Society, 53, 992–1003.
Grosskopf, S., Hayes, K., Taylor, L., and Weber, W., 1999, Anticipating the Consequences of School Reform, A New Use of DEA, Management Science, 45, 608–620.
Grosskopf, S. and Moutray, C., 2001, Evaluating Performance in Chicago Public High Schools in the Wake of Decentralization, Economics ofEducation Review, 20, 1–14.
Grosskopf, S. and Yaisawarng, S., 1990, Economies of Scope in the Provision of Local Public Services, National Tax Journal, 43, 61–74.
Hanushek, E., 1979, Conceptual and Empirical Issues in the Estimation of Educational Production Functions, Journal of Human Resources, 14, 351–388.
Hanushek, E., 1981, Throwing Money at Schools, Journal of Policy Analysis and Management, 1, 19–41.
Hanushek, E., 1986, The Economics of Schooling, Production and Efficiency in Public Schools, Journal of Economic Literature, 24, 1141–1177.
Hanushek, E., 1993, Can Equity be Separated from Efficiency in School Finance Debates, in Emily, H. (Ed.), Essays on the Economics of Education, Upjohn Institute, 35–74.
Leibenstein, H., 1966, Allocative Efficiency vs. X-Efficiency, American Economic Review, 56, 392–415.
Leibenstein, H., 1978, On the Basic Propositions of X-Efficiency Theory, American Economic Review, 68, 328–332.
Lovell, C.A.K., 1993, Production frontiers and productive efficiency, in H.O. Fried, C.A.K. Lovell and S.S. Schmidt (eds.), The Measurement of Productive Efficiency, Oxford University Press, New York, 3–67.
McCarty, T. and Yaisawarng, S., 1993, Technical Efficiency in New Jersey School Districts, in H.O. Fried, CA.K. Lovell and S.S. Schmidt (eds.), The Measurement of Productive Efficiency, Oxford University Press, New York, 271–287.
McMillan, M., and Datta, D., 1998, The Relative Efficiencies of Canadian Universities: A DEA Perspective, 24, 485–513.
Muñiz, M.A., 2002, Separating Managerial Inefficiency and External Conditions in Data Envelopment Analysis, European Journal of Operational Research, 143, 625–643.
National Commission on Excellence in Education, 1983, A Nation at Risk, Washington, DC.
Niskanen, W.A., 1971, Bureaucracy and Representative Government, Aldine-Atherton, Chicago.
Niskanen, W.A., 1975, Bureaucrats and Politicians, The Journal of Law and Economics, 18, 617–643.
Odden, A., and Picus, L., 1992, School Finance: A Policy Perspective, McGraw-Hill, New York.
Ondrich, J. and Ruggiero, J., 2001, Efficiency Measurement in the Stochastic Frontier Model, European Journal of Operational Research, 129, 434–442.
Paradi, J., Vela, S., and Yang, Z., 2003, Assessing Bank and Bank Branch Performance: Modeling Considerations and Approaches, This Volume.
Ray, S., 1988, Data Envelopment Analysis, Nondiscretionary Inputs and Efficiency: An Alternative Interpretation, Socio-Economic Planning Sciences, 22, 167–176.
Ray, S., 1991, Resource-Use Efficiency in Public Schools: A Study of Connecticut Data, Management Science, 37, 1620–1628.
Reschovsky, A., 1994, Fiscal Equalization and School Finance, National Tax Journal, 47, 211–224.
Ruggiero, J., 1996a, On the Measurement of Technical Efficiency in the Public Sector, European Journal of Operational Research, 90, 553–565.
Ruggiero, J., 1996b, Measuring Technical Efficiency in the Public Sector: An Analysis of Educational Production, Review of Economics and Statistics, 78,499–509.
Ruggiero, J., 1998, Non-discretionary Inputs in Data Envelopment Analysis, European Journal of Operational Research, 111, 461–468.
Ruggiero, J., 1999, Nonparametric Analysis of Educational Costs, European Journal of Operational Research, 119, 605–612.
Ruggiero, J., 2000, Nonparametric Estimation of Returns to Scale in the Public Sector with an Application to the Provision of Educational Services, Journal ofthe Operational Research Society, 51, 906–917.
Ruggiero, J., 2001, Determining the Base Cost of Education: An Analysis of Ohio School Districts, Contemporary Economic Policy, 19, 268–279.
Ruggiero, J., 2003, Performance Evaluation When Non-Discretionary Inputs Correlate With Technical Efficiency, European Journal of Operational Research (forthcoming.)
Ruggiero, J., Miner, J. and Blanchard, L., 2002, Equity vs. Efficiency in the Provision of Educational Services, European Journal of Operational Research 142, 642–652.
Ruggiero, J., and Vitaliano, D., 1999, Assessing the Efficiency of Public Schools Using Data Envelopment Analysis and Frontier Regression, Contemporary Economic Policy, 17, 321–331.
Sarrico, C.S., and Dyson, R., 2000, Using DEA for planning in UK Universities-An Institutional Perspective, Journal of the Operational Research Society, 51, 789–790.
Serrano V. Priest, 1971, 487 P.2d 1241.
Sexton, T., Sleeper, S., and Taggart, R., 1994, Improving Pupil Transportation in North Carolina, Interfaces, 24, 87–103.
Silva Portela, M.C., and Thanassoulis, E., 2001, Decomposing School and School-Type Efficiency, European Journal of Operational Research, 132,357–373.
Sinuany-Stern, Z., and Mehrez, A., 1994, Academic Departments Efficiency via DEA, Computers and Operations Research, 21, 543–556.
Smith, P., and Mayston, D., 1987, Measuring Efficiency in the Public Sector, Omega: International Journal of Management Science, 15, 181–189.
Thanassoulis, E., 1999, Setting Achievement Targets for School Children, Education Economics, 7, 101–118.
Thanassoulis, E., and Dunstan, P., 1994, Guiding Schools to Improved Performance Using Data Envelopment Analysis: An Illustration with Data from a Local Education Authority, Journal of the Operational Research Society, 45, 1247–1262.
Tompkins, C., and Green, R., 1988, An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of UK University Departments of Accounting, Financial Accountability & Management, 4, 147–164.
Wyckoff, P., 1990, The Simple Analytics of Slack-Maximizing Bureaucracy, Public Choice, 67, 35–67.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Kluwer Academic Publishers
About this chapter
Cite this chapter
Ruggiero, J. (2004). Performance Evaluation in Education. In: Cooper, W.W., Seiford, L.M., Zhu, J. (eds) Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 71. Springer, Boston, MA. https://doi.org/10.1007/1-4020-7798-X_12
Download citation
DOI: https://doi.org/10.1007/1-4020-7798-X_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-7797-5
Online ISBN: 978-1-4020-7798-2
eBook Packages: Springer Book Archive