Estimating an educational production function for five countries of Latin America on the basis of the PISA data |
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| Institution: | 1. Department of Economics, Bar-Ilan University, 52900 Ramat-Gan, Israel;2. CAEPEM, Université de Perpignan Via Domitia, 52, Avenue Paul Alduy, 66860 Perpignan Cedex, France;3. Senior Research Fellow, CEPS/INSTEAD, Esch-sur-Alzette, Luxembourg;1. Cornell University, United States;2. EIEF, Italy;3. IZA, Germany;4. CEPR, UK;5. Bank of Italy, Italy;6. Monash University, Australia;7. IFN, Sweden;1. Department of Economics, Tecnológico de Monterrey, Campus Monterrey Av. Garza Sada 2501, Monterrey, NL, Mexico, C.P. 64849;2. EGAP Government and Public Policy, Tecnológico de Monterrey, Campus Monterrey Ave. Rufino Tamayo, Garza García, NL, Mexico, C.P. 66269;3. EGADE Business School, Tecnológico de Monterrey, Campus Monterrey Eugenio Garza Laguera & Rufino Tamayo, Garza García, NL, Mexico, C.P. 66269;1. Warwick Business School, University of Warwick, Coventry CV4 7AL, UK;2. Educational Planning and Research Division, Ministry of Education, Putrajaya 62604, Malaysia;3. KEDGE Business School, 680 cours de la Libération, 33405 Talence Cedex, France |
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| 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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| Keywords: | Brazil Chile Colombia Corrected ordinary least squares Correspondence analysis Educational production function Mexico PISA data Shapley value Uruguay |
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