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The Rise of Meritocracy and the Inheritance of Advantage

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Listed:
  • Michael Watts

    (University of Edinburgh)

  • Jose V. Rodriguez Mora

    (University of Edinburgh)

  • David Comerford

    (University of Strathclyde)

Abstract

We present a model human capital accumulation with statistical discrimination on the background of agents. Firms do not observe the productivity of workers, they determine their wage after observing two signals. A direct signal on the productivity of the workers and a second signal on the income of the parents of the agent. The signal on background is useful (insofar the direct signal is not perfectly accurate) because parents invest in their children education, increasing their human capital. Knowing that richer parents invest more in education and that their children will be in average more productive, firms rationally discriminate favoring those with perceived good backgrounds. Thus, the income of an agent depends on both the objective information that society has on its human capital and the existing perceptions on her background. Our main result is that the accuracy of both signals have very similar effects in both inequality and intergenerational mobility. More accurate information on the background of individuals facilitates statistical discrimination increasing inequality and its persistence. More accurate information on the actual capabilities of workers leads to exactly the same result via an interesting feed back mechanism. It allows to discern good workers from the able ones, increasing their wage differential and inequality. But more inequality increases the uncertainty that firms have on workers characteristics, which itself increases the weight that firms give to signals, which further increases inequality, and so on. There is, though, a big difference in both types of signals in the manner that they affect investment. Accurate direct information on productivity is directly linked to the return to investment in human capital, as it is what connects human capital with income. The effects of information on parental background on investment are much more indirect, as it implies that your income affects your children independently from the investment you make in them. Using our model to interpret the data suggests that a country like the US (with relatively little intergenerational mobility, large degree of inequality and very large investment in education) might be characterized by having very precise direct signals on ability, resulting in high rewards to merit, and (conditioning on it) little rewards to have a good background. The US might be still a land of opportunities conditional in having the right ability. Of course, those abilities are to a large extent inherited, and that is the reason why the intergenerational persistence of income is so large. But notice that the reason why they are so inheritable might precisely be that merit is highly rewarded; that in a deep sense, the US may still be a very meritocratic society.

Suggested Citation

  • Michael Watts & Jose V. Rodriguez Mora & David Comerford, 2017. "The Rise of Meritocracy and the Inheritance of Advantage," 2017 Meeting Papers 1644, Society for Economic Dynamics.
  • Handle: RePEc:red:sed017:1644
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    References listed on IDEAS

    as
    1. John Hassler & José Rodríguez Mora & Joseph Zeira, 2007. "Inequality and mobility," Journal of Economic Growth, Springer, vol. 12(3), pages 235-259, September.
    2. Ronni Pavan, 2011. "Career Choice and Wage Growth," Journal of Labor Economics, University of Chicago Press, vol. 29(3), pages 549-587.
    3. Gueorgui Kambourov & Iourii Manovskii, 2009. "Occupational Specificity Of Human Capital," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(1), pages 63-115, February.
    4. George Baker & Michael Gibbs & Bengt Holmstrom, 1994. "The Wage Policy of a Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 921-955.
    5. Kahn, Lisa B., 2010. "The long-term labor market consequences of graduating from college in a bad economy," Labour Economics, Elsevier, vol. 17(2), pages 303-316, April.
    6. Miles Corak & Patrizio Piraino, 2011. "The Intergenerational Transmission of Employers," Journal of Labor Economics, University of Chicago Press, vol. 29(1), pages 37-68, January.
    7. Gary S. Becker & Nigel Tomes, 1994. "Human Capital and the Rise and Fall of Families," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 257-298, National Bureau of Economic Research, Inc.
    8. Checchi, Daniele & Ichino, Andrea & Rustichini, Aldo, 1999. "More equal but less mobile?: Education financing and intergenerational mobility in Italy and in the US," Journal of Public Economics, Elsevier, vol. 74(3), pages 351-393, December.
    9. Guido Matias Cortes & Giovanni Gallipoli, 2018. "The Costs of Occupational Mobility: An Aggregate Analysis," Journal of the European Economic Association, European Economic Association, vol. 16(2), pages 275-315.
    10. Maia Güell & Michele Pellizzari & Giovanni Pica & José V. Rodríguez Mora, 2018. "Correlating Social Mobility and Economic Outcomes," Economic Journal, Royal Economic Society, vol. 128(612), pages 353-403, July.
    11. Bingley, Paul & Corak, Miles & Westergård-Nielsen, Niels C., 2011. "The Intergenerational Transmission of Employers in Canada and Denmark," IZA Discussion Papers 5593, Institute of Labor Economics (IZA).
    12. Moro, Andrea & Norman, Peter, 2004. "A general equilibrium model of statistical discrimination," Journal of Economic Theory, Elsevier, vol. 114(1), pages 1-30, January.
    13. Christina Gathmann & Uta Schönberg, 2010. "How General Is Human Capital? A Task-Based Approach," Journal of Labor Economics, University of Chicago Press, vol. 28(1), pages 1-49, January.
    14. Fatih Guvenen & Greg Kaplan & Jae Song & Justin Weidner, 2017. "Lifetime Incomes in the United States over Six Decades," NBER Working Papers 23371, National Bureau of Economic Research, Inc.
    15. Oded Galor & Joseph Zeira, 1993. "Income Distribution and Macroeconomics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 35-52.
    16. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    17. Peter Norman, 2003. "Statistical Discrimination and Efficiency," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(3), pages 615-627.
    18. Jacob Mincer, 1962. "On-the-Job Training: Costs, Returns, and Some Implications," NBER Chapters, in: Investment in Human Beings, pages 50-79, National Bureau of Economic Research, Inc.
    19. David Neumark, 2002. "Youth Labor Markets In The United States: Shopping Around Vs. Staying Put," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 462-482, August.
    20. Guido Matias Cortes & Giovanni Gallipoli, 2014. "The Costs of Occupational Mobility: An Aggregate Analysis," Working Papers 2014-015, Human Capital and Economic Opportunity Working Group.
    21. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    22. Maxim Poletaev & Chris Robinson, 2008. "Human Capital Specificity: Evidence from the Dictionary of Occupational Titles and Displaced Worker Surveys, 1984-2000," Journal of Labor Economics, University of Chicago Press, vol. 26(3), pages 387-420, July.
    23. Paul Oyer, 2006. "Initial Labor Market Conditions and Long-Term Outcomes for Economists," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 143-160, Summer.
    24. Philip Oreopoulos & Till von Wachter & Andrew Heisz, 2012. "The Short- and Long-Term Career Effects of Graduating in a Recession," American Economic Journal: Applied Economics, American Economic Association, vol. 4(1), pages 1-29, January.
    25. Becker, Gary S & Tomes, Nigel, 1979. "An Equilibrium Theory of the Distribution of Income and Intergenerational Mobility," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1153-1189, December.
    26. George Baker & Michael Gibbs & Bengt Holmstrom, 1994. "The Internal Economics of the Firm: Evidence from Personnel Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 881-919.
    27. Coate, Stephen & Loury, Glenn C, 1993. "Will Affirmative-Action Policies Eliminate Negative Stereotypes?," American Economic Review, American Economic Association, vol. 83(5), pages 1220-1240, December.
    28. Roland Benabou, 1993. "Workings of a City: Location, Education, and Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 619-652.
    29. Simon, Curtis J & Warner, John T, 1992. "Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 306-330, July.
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    1. Chris Bidner & John Knowles, 2018. "Matching for Social Mobility with Unobserved Heritable Characteristics," Discussion Papers dp18-05, Department of Economics, Simon Fraser University.
    2. Lutz Hendricks & Christopher Herrington & Todd Schoellman, 2016. "The Changing Roles of Family Income and Academic Ability for US College Attendance," Working Papers 1602, VCU School of Business, Department of Economics, revised Apr 2017.
    3. Lutz Hendricks & Christopher Herrington & Todd Schoellman, 2018. "College Access and Attendance Patterns: A Long-Run View," Opportunity and Inclusive Growth Institute Working Papers 10, Federal Reserve Bank of Minneapolis.

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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