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Education and labour market outcomes: evidence from Brazil

  • R Freguglia
  • G Spricigo
  • G Johnes
  • A Aggarwal

The effect of education on labour market outcomes is analysed using both survey and administrative data from The Brazilian PNAD and RAIS-MIGRA series, respectively. Occupational destination is examined using both multinomial logit analyses and structural dynamic discrete choice modelling. The latter approach is particularly useful as a means of evaluating policy impacts over time. We find that policy to expand educational provision leads initially to an increased take-up of education, and in the longer term leads to an increased propensity for workers to enter non-manual employment.

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File URL: http://www.lancaster.ac.uk/media/lancaster-university/content-assets/documents/lums/economics/working-papers/EducationLabourMarket.pdf
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Paper provided by Lancaster University Management School, Economics Department in its series Working Papers with number 615809.

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Date of creation: 2011
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Handle: RePEc:lan:wpaper:615809
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  1. Jorge Saba Arbache & Andy Dickerson & Francis Green, 2004. "Trade Liberalisation and Wages in Developing Countries," Economic Journal, Royal Economic Society, vol. 114(493), pages F73-F96, 02.
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  3. Robert J. Willis & Sherwin Rosen, 1978. "Education and Self-Selection," NBER Working Papers 0249, National Bureau of Economic Research, Inc.
  4. Schmidt, Peter & Strauss, Robert P, 1975. "The Prediction of Occupation Using Multiple Logit Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(2), pages 471-86, June.
  5. Michael P. Keane & Kenneth I. Wolpin, 2009. "Empirical Applications of Discrete Choice Dynamic Programming Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 1-22, January.
  6. Stinebrickner, Todd R, 2001. "A Dynamic Model of Teacher Labor Supply," Journal of Labor Economics, University of Chicago Press, vol. 19(1), pages 196-230, January.
  7. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
  8. Duryea, Suzanne & Lam, David & Levison, Deborah, 2007. "Effects of economic shocks on children's employment and schooling in Brazil," Journal of Development Economics, Elsevier, vol. 84(1), pages 188-214, September.
  9. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-72, November.
  10. Todd R. Stinebrickner, 2000. "Serially correlated variables in dynamic, discrete choice models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 595-624.
  11. D G R Soopramanien & G Johnes, 2000. "A new look at gender effects in participation and occupation choice," Working Papers 539688, Lancaster University Management School, Economics Department.
  12. Boskin, Michael J, 1974. "A Conditional Logit Model of Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 389-98, Part I, M.
  13. Stinebrickner, Todd R, 2001. "Compensation Policies and Teacher Decisions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(3), pages 751-79, August.
  14. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
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