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Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools

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  • Haelermans, Carla
  • Ruggiero, John

Abstract

Public sector output provision is influenced not only by discretionary inputs but also by exogenous environmental factors. In this paper, we extended the literature by developing a conditional DEA estimator of allocative efficiency that allows a decomposition of overall cost efficiency into allocative and technical components while simultaneously controlling for the environment. We apply the model to analyze technical and allocative efficiency of Dutch secondary schools. The results reveal that allocative efficiency represents a significant 37 percent of overall cost efficiency on average, although technical inefficiency is still the dominant part. Furthermore, the results show that the impact of environment largely differs between schools and that having a more unfavorable environment is very expensive to schools. These results highlight the importance of including environmental variables in both technical and allocative efficiency analysis.

Suggested Citation

  • Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    • Handle: RePEc:eee:ejores:v:227:y:2013:i:1:p:174-181
    DOI: 10.1016/j.ejor.2012.12.004
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    1. Ruggiero, John, 1998. "Non-discretionary inputs in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 111(3), pages 461-469, December.
    2. Gian Paolo Barbetta & Gilberto Turati, 2003. "Efficiency of Junior High Schools and the Role of Proprietary Structure," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 74(4), pages 529-552, December.
    3. John Ruggiero, 2007. "Measuring the Cost of Meeting Minimum Educational Standards: An Application of Data Envelopment Analysis," Education Economics, Taylor & Francis Journals, vol. 15(1), pages 1-13.
    4. JW. Wenger, 2000. "What do schools produce? Implications of multiple outputs in education," Contemporary Economic Policy, Western Economic Association International, vol. 18(1), pages 27-36, January.
    5. Cherchye, L. & Abeele, P. Vanden, 2005. "On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management," Research Policy, Elsevier, vol. 34(4), pages 495-516, May.
    6. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor, 2009. "The Relative Efficiency Of Charter Schools," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 80(1), pages 67-87, March.
    7. Kalyan Chakraborty & Basudeb Biswas & W. Cris Lewis, 2001. "Measurement of Technical Efficiency in Public Education: A Stochastic and Nonstochastic Production Function Approach," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 889-905, April.
    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. Afonso, Antonio & St. Aubyn, Miguel, 2006. "Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs," Economic Modelling, Elsevier, vol. 23(3), pages 476-491, May.
    10. Lars-Erik Borge & Linn Renée Naper, 2006. "Efficiency Potential and Efficiency Variation in Norwegian Lower Secondary Schools," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 62(2), pages 221-249, June.
    11. 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.
    12. Pierre Ouellette & Valerie Vierstraete, 2005. "An evaluation of the efficiency of Quebec's school boards using the Data Envelopment Analysis method," Applied Economics, Taylor & Francis Journals, vol. 37(14), pages 1643-1653.
    13. Johnes, Geraint & Johnes, Jill, 2009. "Higher education institutions' costs and efficiency: Taking the decomposition a further step," Economics of Education Review, Elsevier, vol. 28(1), pages 107-113, February.
    14. Haelermans, Carla & De Witte, Kristof & Blank, Jos L.T., 2012. "On the allocation of resources for secondary schools," Economics of Education Review, Elsevier, vol. 31(5), pages 575-586.
    15. Kristof De Witte & Wim Groot & Henri?tte Maassen van den Brink, 2012. "The Efficiency of Education in Generating Literacy: A Stochastic Frontier Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 25-37, February.
    16. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February.
    17. Korhonen, Pekka J. & Soleimani-damaneh, Majid & Wallenius, Jyrki, 2011. "Ratio-based RTS determination in weight-restricted DEA models," European Journal of Operational Research, Elsevier, vol. 215(2), pages 431-438, December.
    18. Podinovski, V. V., 2005. "Selective convexity in DEA models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 552-563, March.
    19. Grosskopf, Shawna & Hayes, Kathy J. & Taylor, Lori L. & Weber, William L., 2001. "On the Determinants of School District Efficiency: Competition and Monitoring," Journal of Urban Economics, Elsevier, vol. 49(3), pages 453-478, May.
    20. Loren Tauer & Harold Fried & William Fry, 2007. "Measuring Efficiencies of Academic Departments within a College," Education Economics, Taylor & Francis Journals, vol. 15(4), pages 473-489.
    21. Haelermans, Carla & De Witte, Kristof, 2012. "The role of innovations in secondary school performance – Evidence from a conditional efficiency model," European Journal of Operational Research, Elsevier, vol. 223(2), pages 541-549.
    22. 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.
    23. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    24. Millimet, Daniel L. & Collier, Trevor, 2008. "Efficiency in public schools: Does competition matter?," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 134-157, July.
    25. Jose Manuel Cordero-Ferrera & Francisco Pedraja-Chaparro & Javier Salinas-Jimenez, 2008. "Measuring efficiency in education: an analysis of different approaches for incorporating non-discretionary inputs," Applied Economics, Taylor & Francis Journals, vol. 40(10), pages 1323-1339.
    26. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    27. 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.
    28. K. Chakraborty & B. Biswas & WC. Lewis, 2000. "Economies of scale in public education: an econometric analysis," Contemporary Economic Policy, Western Economic Association International, vol. 18(2), pages 238-247, April.
    29. Conroy, Stephen J. & Arguea, Nestor M., 2008. "An estimation of technical efficiency for Florida public elementary schools," Economics of Education Review, Elsevier, vol. 27(6), pages 655-663, December.
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