IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp8855.html
   My bibliography  Save this paper

The Wage Return to Education: What Hides Behind the Least Squares Bias?

Author

Listed:
  • Andini, Corrado

    () (University of Madeira)

Abstract

This paper combines the approach by Guimarães and Portugal (2010) with the methodology of Gelbach (2015) to investigate the determinants of the least squares bias of the wage return to education. We find that disregarding individual fixed effects is highly problematic, accounting for 95% of the bias. In contrast, disregarding firm fixed effects has marginal consequences.

Suggested Citation

  • Andini, Corrado, 2015. "The Wage Return to Education: What Hides Behind the Least Squares Bias?," IZA Discussion Papers 8855, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp8855
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp8855.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    2. Guimaraes, Paulo & Portugal, Pedro, 2009. "A Simple Feasible Alternative Procedure to Estimate Models with High-Dimensional Fixed Effects," IZA Discussion Papers 3935, Institute of Labor Economics (IZA).
    3. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    4. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emanuela di Gropello, 2006. "Meeting the Challenges of Secondary Education in Latin America and East Asia : Improving Efficiency and Resource Mobilization," World Bank Publications, The World Bank, number 7173, November.
    2. Flabbi, Luca & Paternostro, Stefano & Tiongson, Erwin R., 2008. "Returns to education in the economic transition: A systematic assessment using comparable data," Economics of Education Review, Elsevier, vol. 27(6), pages 724-740, December.
    3. Ge, Suqin, 2013. "Estimating the returns to schooling: Implications from a dynamic discrete choice model," Labour Economics, Elsevier, vol. 20(C), pages 92-105.
    4. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
    5. Andrew B. Bernard & Stephen J. Redding & Peter K. Schott & Helen Simpson, 2008. "Relative Wage Variation and Industry Location in the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 431-459, August.
    6. Patrick M. Emerson & André Portela Souza, 2011. "Is Child Labor Harmful? The Impact of Working Earlier in Life on Adult Earnings," Economic Development and Cultural Change, University of Chicago Press, vol. 59(2), pages 345-385.
    7. Thomas Lemieux, 2014. "Occupations, fields of study and returns to education," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1047-1077, November.
    8. Saïd Hanchane & Abraham Lioui & David Touahri, 2006. "Human capital as a risky asset and the effect of uncertainty on the decision to invest," Working Papers halshs-00010139, HAL.
    9. Berger, Johannes & Strohner, Ludwig, 2020. "Documentation of the PUblic Policy Model for Austria and other European countries (PUMA)," Research Papers 11, EcoAustria – Institute for Economic Research.
    10. Anna Vignoles & Augustin De Coulon & Oscar Marcenaro-Gutierrez, 2011. "The value of basic skills in the British labour market," Oxford Economic Papers, Oxford University Press, vol. 63(1), pages 27-48, January.
    11. Hazrul Shahiri & Kihong Park, 2018. "Ethnic group returns to education during the early post†colonial period in Malaysia," Asian-Pacific Economic Literature, Asia Pacific School of Economics and Government, The Australian National University, vol. 32(1), pages 120-130, May.
    12. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    13. Middendorf, Torge, 2008. "Returns to Education in Europe – Detailed Results from a Harmonized Survey," Ruhr Economic Papers 65, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Hudson, John & Sessions, John G., 2009. "The Impact of Parental Education on Earnings: New Wine in an Old Bottle?," IZA Discussion Papers 4171, Institute of Labor Economics (IZA).
    15. Sajjad Haider Bhatti & Muhammad Aslam & Jean Bourdon, 2018. "Market Returns to Education in Pakistan, Corrected for Endogeneity Bias," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 79-96, Jan-June.
    16. Mona Said & Fatma El-Hamidi, 2008. "Taking Technical Education Seriously in MENA: Determinants, Labor Market Implications and Policy Lessons," Working Papers 450, Economic Research Forum, revised 09 Jan 2008.
    17. Hanushek, Eric A. & Schwerdt, Guido & Wiederhold, Simon & Woessmann, Ludger, 2015. "Returns to skills around the world: Evidence from PIAAC," European Economic Review, Elsevier, vol. 73(C), pages 103-130.
    18. Plamen Nikolov & Nusrat Jimi, 2018. "What factors drive individual misperceptions of the returns to schooling in Tanzania? Some lessons for education policy," Applied Economics, Taylor & Francis Journals, vol. 50(44), pages 4705-4723, September.
    19. Ashenfelter, Orley & Harmon, Colm & Oosterbeek, Hessel, 1999. "A review of estimates of the schooling/earnings relationship, with tests for publication bias," Labour Economics, Elsevier, vol. 6(4), pages 453-470, November.
    20. Annamaria Di Bartolo, 1999. "Modern Human Capital Analysis: Estimation of US, Canada and Italy Earning Functions," LIS Working papers 212, LIS Cross-National Data Center in Luxembourg.

    More about this item

    Keywords

    wages; education; least squares;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp8855. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Holger Hinte). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.