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The impact of SENAI's vocational training program on employment, wages, and mobility in Brazil: Lessons for Sub Saharan Africa?

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  • Villalobos Barría, Carlos
  • Klasen, Stephan

Abstract

This paper provides a comprehensive impact evaluation of the Brazilian National Service for Industrial Training (SENAI). We examine whether such a system could provide lessons for Sub-Saharan Africa, where most countries face rising urbanization, high youth unemployment, and acute skills shortage. While we find evidence of positive self-selection into SENAI training, we also find that it improves labour market outcomes across the educational and race distributions, especially for young males. The effects are much lower or even entirely absent amongst older workers and women. Finally, SENAI graduates experience a higher degree of regional labour mobility. Such a training system could have substantial potential for improving skills and school- to-work transition in Sub-Saharan Africa, although the specificities of the program are likely to be hard to replicate.

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  • Villalobos Barría, Carlos & Klasen, Stephan, 2016. "The impact of SENAI's vocational training program on employment, wages, and mobility in Brazil: Lessons for Sub Saharan Africa?," The Quarterly Review of Economics and Finance, Elsevier, vol. 62(C), pages 74-96.
    • Handle: RePEc:eee:quaeco:v:62:y:2016:i:c:p:74-96
    DOI: 10.1016/j.qref.2016.07.010
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    1. Herbert Brücker & Parvati Trübswetter, 2007. "Do the best go west? An analysis of the self-selection of employed East-West migrants in Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(4), pages 371-395, September.
    2. Corrado Giulietti & Guangjie Ning & Klaus F. Zimmermann, 2012. "Self‐employment of rural‐to‐urban migrants in China," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 96-117, March.
    3. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    4. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    5. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    6. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    7. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    8. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    9. Zimmermann, Klaus F. & Biavaschi, Costanza & Eichhorst, Werner & Giulietti, Corrado & Kendzia, Michael J. & Muravyev, Alexander & Pieters, Janneke & Rodríguez-Planas, Núria & Schmidl, Ricarda, 2013. "Youth Unemployment and Vocational Training," Foundations and Trends(R) in Microeconomics, now publishers, vol. 9(1–2), pages 1-157, December.
    10. Vikström, Johan, 2014. "IPW estimation and related estimators for evaluation of active labor market policies in a dynamic setting," Working Paper Series 2014:1, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    11. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    13. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    14. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute of Labor Economics (IZA).
    15. Cavalcanti Ferreira, Pedro & Facchini, Giovanni, 2005. "Trade liberalization and industrial concentration: Evidence from Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(2-3), pages 432-446, May.
    16. Stephan Klasen & Carlos Villalobos Barría, 2014. "The Impact of SENAI's Vocational Training Programme on Employment, Wages, and Mobility in Brazil: What Lessons for Sub Saharan Africa?," Global Development Institute Working Paper Series iriba_wp05, GDI, The University of Manchester.
    17. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    18. Arriagada, Ana-Maria & Ziderman, Adrian, 1992. "Vocational secondary schooling, occupational choice, and earnings in Brazil," Policy Research Working Paper Series 1037, The World Bank.
    19. Stephen Goldfeld & Richard Quandt, 1973. "The Estimation of Structural Shifts by Switching Regressions," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 475-485, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Corseuil, Carlos Henrique & Foguel, Miguel N. & Gonzaga, Gustavo, 2019. "Apprenticeship as a stepping stone to better jobs: Evidence from Brazilian matched employer-employee data," Labour Economics, Elsevier, vol. 57(C), pages 177-194.

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    More about this item

    Keywords

    Labour markets; Vocational training; School to work transition; Brazil; Africa;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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