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A Relação Entre O Desempenho Escolar E Os Salários No Brasil

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Author Info
Andréa Zaitune Curi
Naércio Aquino Menezes-Filho
Abstract

The aim of this paper is to examine the relationship between the school performance and the wages of young Brazilians workers. We examine if school quality, measured by test scores of a generation in SAEB at the end of high school, affect the earnings of this generation when they enter the labor force, six years later. We use a pseudo-panel model to correct the problems of selection bias, created by migrations and by the high education level of the selected sample, through a Roy model (1951) applied in Dahl (2001). The determinants of school performance, like familiar background, school structure, teacher and director profiles also were analyzed. We conclude that in spite of school characteristics being responsible for a good performance of students in tests scores, what explains the differences of the earnings of young Brazilians workers is the school performance not explained by the model.

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Paper provided by ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics] in its series Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33th Brazilian Economics Meeting] with number 158.

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Date of creation: 2005
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Handle: RePEc:anp:en2005:158

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I20 - Health, Education, and Welfare - - Education - - - General

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  1. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," RCER Working Papers 488, University of Rochester - Center for Economic Research (RCER). [Downloadable!]
  2. Kevin M. Murphy & Sam Peltzman, 2004. "School Performance and the Youth Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 299-328, April. [Downloadable!]
  3. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, Elsevier. [Downloadable!] (restricted)
  4. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May. [Downloadable!] (restricted)
  5. Bishop, John Hillman, 1989. "Is the Test Score Decline Responsible for the Productivity Growth Decline?," American Economic Review, American Economic Association, vol. 79(1), pages 178-97, March. [Downloadable!] (restricted)
  6. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November. [Downloadable!] (restricted)
  7. Eric A. Hanushek & Dennis D. Kimko, 2000. "Schooling, Labor-Force Quality, and the Growth of Nations," American Economic Review, American Economic Association, vol. 90(5), pages 1184-1208, December. [Downloadable!] (restricted)
  8. O'Neill, June, 1990. "The Role of Human Capital in Earnings Differences between Black and White Men," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 25-45, Fall. [Downloadable!] (restricted)
  9. Boissiere, M & Knight, J B & Sabot, R H, 1985. "Earnings, Schooling, Ability, and Cognitive Skills," American Economic Review, American Economic Association, vol. 75(5), pages 1016-30, December. [Downloadable!] (restricted)
  10. Richard J. Murnane & John B. Willett & Frank Levy, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," NBER Working Papers 5076, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages F64-F98, February. [Downloadable!] (restricted)
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