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An estimation of technical efficiency for Florida public elementary schools

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  • Conroy, Stephen J.
  • Arguea, Nestor M.

Abstract

We use a frontier production function estimation technique to analyze whether elementary schools in Florida are operating at an efficient level and to explain any inefficiencies. A motivation for this analysis comes from recent state and federal level educational initiatives designed to improve school accountability and reduce class sizes. Results presented here indicate that while Florida elementary schools are not operating at efficient levels (with regional mean inefficiency estimates in the 4.1-5.1% range), they compare favorably to published results for other states. One factor associated with higher inefficiency is student promotion rates--something which does lie within the purview of school administrators and may have important policy implications. However, other factors associated with higher inefficiency (percent free-lunch eligible, higher crime and violence, higher suspension rates and not having a parent-teacher organization) are indicators of conditions that lie largely beyond the direct control of public schools, casting doubt on the effectiveness of recent accountability measures to improve efficiency.

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  • 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.
    • Handle: RePEc:eee:ecoedu:v:27:y:2008:i:6:p:655-663
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    References listed on IDEAS

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    1. Fare,Rolf & Grosskopf,Shawna & Lovell,C. A. Knox, 2008. "Production Frontiers," Cambridge Books, Cambridge University Press, number 9780521072069, October.
    2. 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.
    3. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    4. 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.
    5. 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.
    6. 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.
    7. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
    8. 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.
    9. 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.
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    2. 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.
    3. Ben Yahia, Fatma & Essid, Hédi & Rebai, Sonia, 2018. "Do dropout and environmental factors matter? A directional distance function assessment of tunisian education efficiency," International Journal of Educational Development, Elsevier, vol. 60(C), pages 120-127.
    4. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William Weber, 2015. "Centralized or decentralized control of school resources? A network model," Journal of Productivity Analysis, Springer, vol. 43(2), pages 139-150, April.
    5. Aatzaz Hassan & Muhammad Ramzan Sheikh & Rana Zafar Hayat & Neelam Asghar Ali, 2022. "An Efficiency Analysis of Public and Private Elementary Schools in Dera Ghazi Khan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 135-150, September.
    6. López-Torres, Laura & Nicolini, Rosella & Prior, Diego, 2017. "Does strategic interaction affect demand for school places? A conditional efficiency approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 89-103.
    7. 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.
    8. Nghiem, Son & Nguyen, Ha & Connelly, Luke, 2014. "The Efficiency of Australian Schools: Evidence from the NAPLAN Data 2009-2011," MPRA Paper 56231, University Library of Munich, Germany.
    9. Ryan, Chris, 2013. "What is behind the decline in student achievement in Australia?," Economics of Education Review, Elsevier, vol. 37(C), pages 226-239.
    10. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    11. Gronberg, Timothy J. & Jansen, Dennis W. & Taylor, Lori L., 2012. "The relative efficiency of charter schools: A cost frontier approach," Economics of Education Review, Elsevier, vol. 31(2), pages 302-317.
    12. 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.
    13. 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.
    14. Lori Taylor & Shawna Grosskopf & Kathy Hayes & Laura Razzolini, 2023. "The role of poverty measurements in achieving educational equity through school finance reform," Journal of Productivity Analysis, Springer, vol. 60(2), pages 109-127, October.

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