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Measuring predetermined socioeconomic 'inputs' when assessing the efficiency of educational outputs

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  • J. M. Bates
Abstract
Data envelopment analysis (a mathematical programming technique) has often been applied to measuring the efficiency with which outputs are produced. The technique derives efficient combinations of outputs for given inputs: constant returns to size may be assumed or one may choose to examine whether decreasing or increasing returns hold true. The technique was originally developed with cost data as the inputs, but many of the applications in education have been required to concern themselves with inputs of a social nature, where the inputs are frequently 'categorized'. This paper develops a method for measuring these categorized inputs in a more satisfactory way. A DEA analysis is undertaken of results for the Local Education Authorities of England in the early 1980s, and is followed by a stochastic frontier analysis.

Suggested Citation

  • J. M. Bates, 1997. "Measuring predetermined socioeconomic 'inputs' when assessing the efficiency of educational outputs," Applied Economics, Taylor & Francis Journals, vol. 29(1), pages 85-93.
    • Handle: RePEc:taf:applec:v:29:y:1997:i:1:p:85-93
    DOI: 10.1080/000368497327434
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    References listed on IDEAS

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    1. 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.
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    5. 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.
    6. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
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    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. 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.
    4. Moonyoung Eom & Hyungchul Yoo & Jisung Yoo, 2022. "Efficiency and Productivity of Local Educational Administration in Korea Using the Malmquist Productivity Index," Mathematics, MDPI, vol. 10(9), pages 1-14, April.
    5. Nolan, J. F. & Ritchie, P. C. & Rowcroft, J. E., 2002. "Identifying and measuring public policy goals: ISTEA and the US bus transit industry," Journal of Economic Behavior & Organization, Elsevier, vol. 48(3), pages 291-304, July.
    6. Alexander Arévalo S & Víctor Giménez G & Diego Prior J, 2022. "Análisis de eficiencia en educación: una aplicación del método StoNED," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 92(2), pages 45-91, October.
    7. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2018. "Does econometric methodology matter to rank universities? An analysis of Italian higher education system," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 104-120.

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