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Estimating an educational production function for five countries of Latin America on the basis of the PISA data

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  • Deutsch, Joseph
  • Dumas, Audrey
  • Silber, Jacques

Abstract

This paper takes a new look at the determinants of cognitive ability. Using the results of the 2006 PISA survey for five Latin American countries (Brazil, Chile, Colombia, Mexico and Uruguay) it adopts an efficiency analysis perspective. Rather than selecting as inputs a few variables, it integrates the maximum amount of available information via the use of correspondence analysis (CA). Efficiency is estimated at the individual level via corrected ordinary least squares and is then regressed on explanatory variables obtained again via correspondence analysis. Unobserved school effects are taken into account by estimating a random effect model. Finally, using the so-called Shapley decomposition, we determine the exact impact on individual efficiency of each of the factors that are considered as determinants of this efficiency.

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  • Deutsch, Joseph & Dumas, Audrey & Silber, Jacques, 2013. "Estimating an educational production function for five countries of Latin America on the basis of the PISA data," Economics of Education Review, Elsevier, vol. 36(C), pages 245-262.
    • Handle: RePEc:eee:ecoedu:v:36:y:2013:i:c:p:245-262
    DOI: 10.1016/j.econedurev.2013.07.005
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    9. Aparicio, Juan & Cordero, Jose M. & Gonzalez, Martin & Lopez-Espin, Jose J., 2018. "Using non-radial DEA to assess school efficiency in a cross-country perspective: An empirical analysis of OECD countries," Omega, Elsevier, vol. 79(C), pages 9-20.
    10. 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.
    11. Agasisti, Tommaso & Antequera, Germán & Delprato, Marcos, 2023. "Technological resources, ICT use and schools efficiency in Latin America – Insights from OECD PISA 2018," International Journal of Educational Development, Elsevier, vol. 99(C).
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    14. Inés P. Murillo & José L. Raymond & Jorge Calero, 2017. "Efficiency in the transformation of schooling into competences: A cross-country analysis using PIAAC data," Working Papers 2017/12, Institut d'Economia de Barcelona (IEB).
    15. Ramos, Raul & Duque, Juan Carlos & Nieto, Sandra, 2016. "Decomposing the Rural-Urban Differential in Student Achievement in Colombia using PISA Microdata/Una descomposición del diferencial rural-urbano en los rendimientos educativos en Colombia a partir de ," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 379-412, Mayo.
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    More about this item

    Keywords

    Brazil; Chile; Colombia; Corrected ordinary least squares; Correspondence analysis; Educational production function; Mexico; PISA data; Shapley value; Uruguay;
    All these keywords.

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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