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Accounting for Heterogeneous Returns in Sequential Schooling Decisions

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  • Gema Zamarro

Abstract

This paper presents a method for estimating returns to schooling that takes into account that returns may be heterogeneous among agents and that educational decisions are made sequentially. A sequential decision model is interesting because it explicitly considers that the level of education of each individual is the result of previous schooling choices and so, the variation of supply-side instruments over time will emerge as a source of identification of the desired parameters. A test for heterogeneity in returns from sequential schooling decisions is developed and expressions for Marginal Treatment Effects are obtained in this context. Returns are estimated and tested from cross-sectional data from a Spanish household survey that contains rich family background information and useful instruments. This data is stratified by level of education and so estimators are adapted to take this feature into account. Finally, this methodology is used to analyze possible effects of the 1970 reform of the Spanish education system.

Suggested Citation

  • Gema Zamarro, 2006. "Accounting for Heterogeneous Returns in Sequential Schooling Decisions," Working Papers wp2006_0609, CEMFI.
    • Handle: RePEc:cmf:wpaper:wp2006_0609
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    Cited by:

    1. Belskaya, Olga & Peter, Klara Sabirianova & Posso, Christian, 2014. "College Expansion and the Marginal Returns to Education: Evidence from Russia," IZA Discussion Papers 8735, Institute of Labor Economics (IZA).
    2. Biewen, Martin & (neé Tapalaga), Madalina Thiele, 2020. "Early tracking, academic vs. vocational training, and the value of ‘second-chance’ options," Labour Economics, Elsevier, vol. 66(C).
    3. Zamarro, Gema, 2010. "Accounting for heterogeneous returns in sequential schooling decisions," Journal of Econometrics, Elsevier, vol. 156(2), pages 260-276, June.
    4. Javier Diaz-Gimenez & Josep Pijoan-Mas, 2006. "Flat Tax Reforms in the U.S.: a Boon for the Income Poor," Computing in Economics and Finance 2006 400, Society for Computational Economics.
    5. David Martinez-Miera & Rafael Repullo, 2010. "Does Competition Reduce the Risk of Bank Failure?," The Review of Financial Studies, Society for Financial Studies, vol. 23(10), pages 3638-3664, October.
    6. Bernarda Zamora Talaya & Eduard Gracia, 2007. "Nature, nurture and market conditions: Ability and education in the policy evaluation approach," Working Papers. Serie AD 2007-29, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    7. Joan Llull, 2008. "The Impact of Immigration on Productivity," Working Papers wp2008_0802, CEMFI.
    8. Repullo, Rafael & Suarez, Javier, 2008. "The Procyclical Effects of Basel II," CEPR Discussion Papers 6862, C.E.P.R. Discussion Papers.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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