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A Dynamic Mincer Equation with an Application to Portuguese Data

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  • Andini, Corrado

    ()
    (University of Madeira)

Abstract

This paper argues in favor of a dynamic specification of the Mincer equation, where past observed earnings play the role of additional explanatory variable for current observed earnings. A dynamic approach offers an explanation why the return to schooling in terms of observed earnings is not independent of labor-market experience, as suggested by some recent empirical evidence for the United States.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2897.

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Length: 26 pages
Date of creation: Jul 2007
Date of revision:
Publication status: published in: Applied Economics, 2010, 42 (16), 2091-2098
Handle: RePEc:iza:izadps:dp2897

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Keywords: panel data; Mincer equation; return to schooling; wage level;

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References

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  1. Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999. "Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data," Department of Economics, Working Papers 016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  2. Santiago Budría & Pedro Telhado-Pereira, 2011. "Educational Qualifications And Wage Inequality: Evidence For Europe," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 19(2), pages 5-34, Autumn.
  3. Pedro Telhado Pereira & Pedro Silva Martins, 2004. "Returns to education and wage equations," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 525-531.
  4. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863 Elsevier.
  5. Pereira, Pedro T. & Martins, Pedro S., 2001. "Is there a Return-Risk Link in Education?," IZA Discussion Papers 321, Institute for the Study of Labor (IZA).
  6. Philip A. Trostel, 2005. "Nonlinearity in the return to education," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 191-202, May.
  7. John B. Taylor, 1998. "Staggered Price and Wage Setting in Macroeconomics," NBER Working Papers 6754, National Bureau of Economic Research, Inc.
  8. Corrado Andini, 2007. "Returns to education and wage equations: a dynamic approach," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 577-579.
  9. Heckman, James J. & Lochner, Lance & Todd, Petra E., 2005. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," IZA Discussion Papers 1700, Institute for the Study of Labor (IZA).
  10. Murphy, Kevin M & Welch, Finis, 1990. "Empirical Age-Earnings Profiles," Journal of Labor Economics, University of Chicago Press, vol. 8(2), pages 202-29, April.
  11. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  12. Corrado Andini, 2007. "The total impact of schooling on within-groups wage inequality in Portugal," Applied Economics Letters, Taylor & Francis Journals, vol. 15(2), pages 85-90.
  13. Heckman, James J. & Lochner, Lance & Todd, Petra E., 2003. "Fifty Years of Mincer Earnings Regressions," IZA Discussion Papers 775, Institute for the Study of Labor (IZA).
  14. Martins, Pedro S. & Pereira, Pedro T., 2004. "Does education reduce wage inequality? Quantile regression evidence from 16 countries," Labour Economics, Elsevier, vol. 11(3), pages 355-371, June.
  15. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
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Cited by:
  1. Corrado Andini, 2013. "How well does a dynamic Mincer equation fit NLSY data? Evidence based on a simple wage-bargaining model," Empirical Economics, Springer, vol. 44(3), pages 1519-1543, June.
  2. Andini, Corrado, 2013. "Earnings persistence and schooling returns," Economics Letters, Elsevier, vol. 118(3), pages 482-484.
  3. Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79756, Verein für Socialpolitik / German Economic Association.
  4. Andini, Corrado, 2014. "Persistence Bias and Schooling Returns," IZA Discussion Papers 8143, Institute for the Study of Labor (IZA).

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