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Education production efficiency: Evidence from Brazilian universities

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  • Zoghbi, Ana Carolina
  • Rocha, Fabiana
  • Mattos, Enlinson

Abstract

The purpose of this paper is to estimate the efficiency of higher education institutions in Brazil with emphasis on its determinants, taking particularly into account the relative efficiency of public and private institutions on the application of their resources. The availability of scores in standardized tests for Brazilian universities helps a lot with this task since they provide a widely accepted output measure. The difference between the scores of last-year and first-year students in ENADE is used to measure performance. There exists an entrance exam in Brazilian universities where they can screen out their students. Therefore we believe that students' characteristics should be considered a non-discretionary input and consequently explain the output. This specification implies that public institutions are more inefficient than private ones.

Suggested Citation

  • Zoghbi, Ana Carolina & Rocha, Fabiana & Mattos, Enlinson, 2013. "Education production efficiency: Evidence from Brazilian universities," Economic Modelling, Elsevier, vol. 31(C), pages 94-103.
  • Handle: RePEc:eee:ecmode:v:31:y:2013:i:c:p:94-103
    DOI: 10.1016/j.econmod.2012.11.018
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    2. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    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. Bogetoft, Peter & Heinesen, Eskil & Tranæs, Torben, 2015. "The efficiency of educational production: A comparison of the Nordic countries with other OECD countries," Economic Modelling, Elsevier, vol. 50(C), pages 310-321.
    5. Eduardo Pontual Ribeiro, 2018. "Merger Employment Effects In Private Higher Education," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 231, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Laureti, Tiziana & Secondi, Luca & Biggeri, Luigi, 2014. "Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach," Economics of Education Review, Elsevier, vol. 42(C), pages 147-164.
    7. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    8. 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.
    9. Horrace, William C. & Rothbart, Michah W. & Yang, Yi, 2022. "Technical efficiency of public middle schools in New York City," Economics of Education Review, Elsevier, vol. 86(C).
    10. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    11. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    12. Lars Herberholz & Berthold U. Wigger, 2020. "Efficiency of European Universities: A Comparison of Peers," CESifo Working Paper Series 8044, CESifo.
    13. Tommaso Agasisti & Cristian Barra & Roberto Zotti, 2019. "Research, knowledge transfer, and innovation: The effect of Italian universities’ efficiency on local economic development 2006−2012," Journal of Regional Science, Wiley Blackwell, vol. 59(5), pages 819-849, November.
    14. Doddy Ismunandar Bahari & Hermanto Siregar & Sahara Sahara & Handewi Purwati Saliem Rachman, 2019. "Impact of Agricultural Sectors and Income Inequality in Rural Toward Role of Public Education in Decreasing Educational Inequality in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 9(1), pages 151-159.
    15. Barra, Cristian & Zotti, Roberto, 2014. "Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education," MPRA Paper 55570, University Library of Munich, Germany.
    16. Sabine Gralka, 2018. "Persistent inefficiency in the higher education sector: evidence from Germany," Education Economics, Taylor & Francis Journals, vol. 26(4), pages 373-392, July.
    17. 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.
    18. 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.
    19. 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.
    20. Lutz Bornmann & Klaus Wohlrabe & Sabine Gralka, 2019. "The graduation shift of German universities of applied sciences," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-19, January.
    21. Birulin, Oleksii & Smirnov, Vladimir & Wait, Andrew, 2020. "The evolving nature of the college wage premium," Economic Modelling, Elsevier, vol. 93(C), pages 474-479.
    22. Vanesa D’Elia & Gustavo Ferro, 2019. "Empirical Efficiency Measurement in Higher Education: An Overview," CEMA Working Papers: Serie Documentos de Trabajo. 708, Universidad del CEMA.
    23. Orosco Gavilán, Juan Carlos & Lopes Moreira Da Veiga, María Helena & Wiper, Michael Peter, 2023. "Measuring efficiency of Peruvian universities: a stochastic frontier analysis," DES - Working Papers. Statistics and Econometrics. WS 36250, Universidad Carlos III de Madrid. Departamento de Estadística.
    24. Ariel Gustavo Letti & Mauricio Vaz Lobo Bittencourt & Luis E. Vila, 2022. "Stochastic vs. deterministic frontier distance output function: Evidence from Brazilian higher education institutions," Journal of Productivity Analysis, Springer, vol. 58(1), pages 55-74, August.
    25. Zotti, Roberto & Barra, Cristian, 2014. "How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach," MPRA Paper 54011, University Library of Munich, Germany.

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