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Employer Learning and the Signaling Value of Education

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  • Joseph G. Altonji
  • Charles R. Pierret

Abstract

If profit maximizing firms have limited information about the general productivity of new workers, they may choose to use easily observable characteristics such as years of education to 'statistically discriminate' among workers. The pure credential value of education will depend on how quickly firms learn. To obtain information on employer learning, we work with a wage equation that contains both the interaction between experience and a hard-to-observe variable that is positively related to productivity and the interaction between experience and a variable that firms can easily observe, such as years of education. The time path of the coefficient on the unobservable productivity variable provides information about the rate at which employers learn about worker productivity. Using data from the NLSY we obtain preliminary estimates of the rate at which employers learn about worker quality and use these, along with some strong auxiliary assumptions, to explore the empirical relevance of the educational screening hypothesis. We show that even if employers learn relatively slowly about the productivity of new workers, the portion of the return to education that could reflect signaling of ability is limited.

Suggested Citation

  • Joseph G. Altonji & Charles R. Pierret, 1996. "Employer Learning and the Signaling Value of Education," NBER Working Papers 5438, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:5438
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    References listed on IDEAS

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    1. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-990, October.
    2. Holzer, Harry J, 1988. "Search Method Use by Unemployed Youth," Journal of Labor Economics, University of Chicago Press, vol. 6(1), pages 1-20, January.
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    Cited by:

    1. Galindo-Rueda, Fernando, 2003. "Employer learning and schooling-related statistical discrimination in Britain," LSE Research Online Documents on Economics 19491, London School of Economics and Political Science, LSE Library.
    2. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    3. Altonjii, Joseph G., 2005. "Employer Learning, Statistical Discrimination and Occupational Attainment," Working Papers 3, Yale University, Department of Economics.
    4. Perri, Timothy J., 2002. "Signaling versus contingent contracts with costly turnover," Journal of Economic Behavior & Organization, Elsevier, vol. 48(4), pages 365-374, August.
    5. Holzer, Harry & Neumark, David, 1999. "Are Affirmative Action Hires Less Qualified? Evidence from Employer-Employee Data on New Hires," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 534-569, July.
    6. Carrillo-Tudela, Carlos & Kaas, Leo, 2015. "Worker mobility in a search model with adverse selection," Journal of Economic Theory, Elsevier, vol. 160(C), pages 340-386.
    7. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    8. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Do the Cognitive Skills of School Dropouts Matter in the Labor Market?," Journal of Human Resources, University of Wisconsin Press, vol. 35(4), pages 748-754.
    9. Christopher Freiman, 2017. "Poverty, partiality, and the purchase of expensive education," Politics, Philosophy & Economics, , vol. 16(1), pages 25-46, February.
    10. James W. Albrecht & Jan C. Van Ours, 2006. "Using Employer Hiring Behavior to Test the Educational Signaling Hypothesis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 108(3), pages 361-372, October.
    11. Murnane, Richard J. & Willett, John B. & Braatz, M. Jay & Duhaldeborde, Yves, 2001. "Do different dimensions of male high school students' skills predict labor market success a decade later? Evidence from the NLSY," Economics of Education Review, Elsevier, vol. 20(4), pages 311-320, August.
    12. Oreopoulos, Philip & Heisz, Andrew, 2006. "The Importance of Signalling in Job Placement and Promotion," Analytical Studies Branch Research Paper Series 2006236e, Statistics Canada, Analytical Studies Branch.
    13. Bauer, Thomas K. & Haisken-DeNew, John P., 2001. "Employer learning and the returns to schooling," Labour Economics, Elsevier, vol. 8(2), pages 161-180, May.
    14. Michael J. Podgursky & Matthew G. Springer, 2007. "Teacher performance pay: A review," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(4), pages 909-950.
    15. Tyler, John H., 2004. "Basic skills and the earnings of dropouts," Economics of Education Review, Elsevier, vol. 23(3), pages 221-235, June.
    16. Steven Jacob Bosworth, 2019. "Higher education fees as signals," Economics Discussion Papers em-dp2019-16, Department of Economics, University of Reading.
    17. Albareto, G. & Mistrulli, P.E., 2010. "Bridging the gap between migrants and the banking system," MPRA Paper 26476, University Library of Munich, Germany.
    18. Richard J. Murnane & John B. Willett & Yves Duhaldeborde & John H. Tyler, 2000. "How important are the cognitive skills of teenagers in predicting subsequent earnings?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 547-568.
    19. Domeland, Dorte, 2007. "Trade and human capital accumulation: evidence from U.S. immigrants," Policy Research Working Paper Series 4144, The World Bank.
    20. Oreopoulos, Philip & Heisz, Andrew, 2006. "Importance des signaux de competence pour l'obtention d'un emploi et de l'avancement," Direction des études analytiques : documents de recherche 2006236f, Statistics Canada, Direction des études analytiques.
    21. H. J. Holzer, "undated". "Employer skill needs and labor market outcome by race and gender," Institute for Research on Poverty Discussion Papers 1087-96, University of Wisconsin Institute for Research on Poverty.

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    JEL classification:

    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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