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Efficiency of Finnish Upper Secondary Schools: An Application of Stochastic Frontier Analysis with Panel Data

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  • Kirjavainen, Tanja

Abstract

In this study the efficiency of Finnish upper secondary schools is evaluated with stochastic frontier analysis. Different stochastic frontier models for panel data are used to estimate education production functions. The results in matriculation examination are explained with comprehensive school grade point average, parents' socioeconomic background, resources, length of studies and decentralization of test taking on matriculation examination. Controls for schools with specialized curriculum are also included. The heterogeneity across schools is allowed by estimating both true random and true fixed effects models. The results show that the effect of teaching resources on examination results is even negative when the heterogeneity across schools is taken into account. Length of studies and decentralization of test taking affected negatively on student achievement. The inefficiency and the rankings of schools based on inefficiency score varied quite considerably depending on the type of stochastic frontier model. The lowest estimates for inefficiency were obtained with true random and true fixed effects models that separate time constant random or fixed effects from inefficiency.

Suggested Citation

  • Kirjavainen, Tanja, 2007. "Efficiency of Finnish Upper Secondary Schools: An Application of Stochastic Frontier Analysis with Panel Data," Discussion Papers 428, VATT Institute for Economic Research.
  • Handle: RePEc:fer:dpaper:428
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    File URL: https://www.doria.fi/handle/10024/148414
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    References listed on IDEAS

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    1. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
    2. Barrow, Michael M., 1991. "Measuring local education authority performance: A frontier approach," Economics of Education Review, Elsevier, vol. 10(1), pages 19-27, March.
    3. 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.
    4. 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.
    5. 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.
    6. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    7. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    8. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    9. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    10. Caroline M. Hoxby, 1998. "The Effects of Class Size and Composition on Student Achievement: New Evidence from Natural Population Variation," NBER Working Papers 6869, National Bureau of Economic Research, Inc.
    11. Frédéric Gonand & Isabelle Joumard & Robert W. R. Price, 2007. "Public Spending Efficiency: Institutional Indicators in Primary and Secondary Education," OECD Economics Department Working Papers 543, OECD Publishing.
    12. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    13. 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.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    16. 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.
    17. Dan D. Goldhaber & Dominic J. Brewer, 1997. "Why Don't Schools and Teachers Seem to Matter? Assessing the Impact of Unobservables on Educational Productivity," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 505-523.
    18. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    19. 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.
    20. Akerhielm, Karen, 1995. "Does class size matter?," Economics of Education Review, Elsevier, vol. 14(3), pages 229-241, September.
    21. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 533-575.
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    Cited by:

    1. Son Nghiem & Ha Trong Nguyen & Luke B. Connelly, 2016. "The Efficiency of Australian Schools: A Nationwide Analysis Using Gains in Test Scores of Students as Outputs," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 256-268, September.
    2. Alfonso Leme & Josep-Oriol Escardíbul, 2016. "The effect of a specialized versus a general upper secondary school curriculum on students’ performance and inequality. A difference-in-differences cross country country comparison," Working Papers 2016/16, Institut d'Economia de Barcelona (IEB).

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    Keywords

    Efficiency; stochastic frontier analysis; secondary schools; Public services; Julkiset palvelut; Effectiveness of public services; Julkisten palvelujen vaikuttavuus;

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