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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.

Suggested Citation

  • 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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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    2. 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 Economía Aplicada, Estudios de Economía Aplicada, vol. 34, pages 379-412, Mayo.
    3. repec:pal:jorsoc:v:68:y:2017:i:4:d:10.1057_jors.2015.92 is not listed on IDEAS
    4. French, Joseph J. & French, Atchaporn & Li, Wei-Xuan, 2015. "The relationship among cultural dimensions, education expenditure, and PISA performance," International Journal of Educational Development, Elsevier, vol. 42(C), pages 25-34.
    5. repec:pal:jorsoc:v:68:y:2017:i:4:d:10.1057_jors.2015.42 is not listed on IDEAS
    6. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.
    7. repec:eee:regeco:v:65:y:2017:i:c:p:89-103 is not listed on IDEAS

    More about this item

    Keywords

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

    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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