IDEAS home Printed from https://ideas.repec.org/p/fip/fedcwp/1225.html
   My bibliography  Save this paper

Learning and occupational sorting

Author

Listed:
  • Jonathan James

Abstract

This paper develops and estimates a model of occupational choice and learning that allows for correlated learning across occupation specificabilities. In the labor market, workers learn about their potential outcomes in all occupations, not just their current occupation. Based on what they learn, workers engage in directed search across occupations. The estimates indicate that sorting occurs in multiple dimensions. Workers discovering a low ability in their current occupation are significantly more likely to move to a new occupation. At the same time, workers discovering a high ability in some occupations are more likely to move up the occupational ladder into managerial occupations. By age 28 this sorting process leads to an aggregate increase in wages similar to what would occur if all workers were endowed with an additional year of education.

Suggested Citation

  • Jonathan James, 2012. "Learning and occupational sorting," Working Papers (Old Series) 1225, Federal Reserve Bank of Cleveland.
  • Handle: RePEc:fip:fedcwp:1225
    as

    Download full text from publisher

    File URL: https://www.clevelandfed.org/newsroom-and-events/publications/working-papers/2012-working-papers/wp-1225-learning-and-occupational-sorting.aspx
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. McCall, Brian P, 1990. "Occupational Matching: A Test of Sorts," Journal of Political Economy, University of Chicago Press, vol. 98(1), pages 45-69, February.
    2. Peter Arcidiacono & John Bailey Jones, 2003. "Finite Mixture Distributions, Sequential Likelihood and the EM Algorithm," Econometrica, Econometric Society, vol. 71(3), pages 933-946, May.
    3. Carl Sanders, 2012. "Skill Uncertainty, Skill Accumulation, and Occupational Choice," 2012 Meeting Papers 633, Society for Economic Dynamics.
    4. Neal, Derek, 1999. "The Complexity of Job Mobility among Young Men," Journal of Labor Economics, University of Chicago Press, vol. 17(2), pages 237-261, April.
    5. Miller, Robert A, 1984. "Job Matching and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 92(6), pages 1086-1120, December.
    6. Bernal, Raquel & Keane, Michael P., 2010. "Quasi-structural estimation of a model of childcare choices and child cognitive ability production," Journal of Econometrics, Elsevier, vol. 156(1), pages 164-189, May.
    7. Kate Antonovics & Limor Golan, 2012. "Experimentation and Job Choice," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 333-366.
    8. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    9. 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.
    10. Gregory S. Crawford & Matthew Shum, 2005. "Uncertainty and Learning in Pharmaceutical Demand," Econometrica, Econometric Society, vol. 73(4), pages 1137-1173, July.
    11. Shintaro Yamaguchi, 2012. "Tasks and Heterogeneous Human Capital," Journal of Labor Economics, University of Chicago Press, vol. 30(1), pages 1-53.
    12. Robert Gibbons & Lawrence F. Katz & Thomas Lemieux & Daniel Parent, 2005. "Comparative Advantage, Learning, and Sectoral Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 23(4), pages 681-724, October.
    13. Daniel A. Ackerberg, 2003. "Advertising, learning, and consumer choice in experience good markets: an empirical examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 1007-1040, August.
    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. Jonathan James, 2011. "Ability matching and occupational choice," Working Papers (Old Series) 1125, Federal Reserve Bank of Cleveland.
    2. Pedros Silos & Eric Smith, 2015. "Human Capital Portfolios," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(3), pages 635-652, July.
    3. Carl Sanders, 2012. "Skill Uncertainty, Skill Accumulation, and Occupational Choice," 2012 Meeting Papers 633, Society for Economic Dynamics.
    4. Carl Sanders & Christopher Taber, 2012. "Life-Cycle Wage Growth and Heterogeneous Human Capital," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 399-425, July.
    5. Fatih Guvenen & Burhan Kuruscu & Satoshi Tanaka & David Wiczer, 2020. "Multidimensional Skill Mismatch," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 210-244, January.
    6. Demiralp, Berna, 2011. "Occupational self-selection in a labor market with moral hazard," European Economic Review, Elsevier, vol. 55(4), pages 497-519, May.
    7. Sullivan, Paul, 2010. "Empirical evidence on occupation and industry specific human capital," Labour Economics, Elsevier, vol. 17(3), pages 567-580, June.
    8. Paul Sullivan, 2010. "A Dynamic Analysis Of Educational Attainment, Occupational Choices, And Job Search," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(1), pages 289-317, February.
    9. Gathmann, Christina & Schönberg, Uta, 2006. "How General Is Specific Human Capital?," IZA Discussion Papers 2485, Institute of Labor Economics (IZA).
    10. Andrés Hincapié, 2020. "Entrepreneurship Over The Life Cycle: Where Are The Young Entrepreneurs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 617-681, May.
    11. Hoffman, Mitchell & Burks, Stephen V., 2017. "Worker Overconfidence: Field Evidence and Implications for Employee Turnover and Returns from Training," IZA Discussion Papers 10794, Institute of Labor Economics (IZA).
    12. Zsolt Csáfordi & László Lőrincz & Balázs Lengyel & Károly Miklós Kiss, 2020. "Productivity spillovers through labor flows: productivity gap, multinational experience and industry relatedness," The Journal of Technology Transfer, Springer, vol. 45(1), pages 86-121, February.
    13. Aspen Gorry, 2016. "Experience and worker flows," Quantitative Economics, Econometric Society, vol. 7(1), pages 225-255, March.
    14. Theodore Papageorgiou, 2022. "Occupational Matching and Cities," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 82-132, July.
    15. Hu, Yingyao & Kayaba, Yutaka & Shum, Matthew, 2013. "Nonparametric learning rules from bandit experiments: The eyes have it!," Games and Economic Behavior, Elsevier, vol. 81(C), pages 215-231.
    16. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    17. Hu, Yingyao, 2017. "The Econometrics of Unobservables -- Latent Variable and Measurement Error Models and Their Applications in Empirical Industrial Organization and Labor Economics [The Econometrics of Unobservables]," Economics Working Paper Archive 64578, The Johns Hopkins University,Department of Economics, revised 2021.
    18. Shintaro Yamaguchi, 2007. "Career and Skill Formation: A Dynamic Occupational Choice Model with Multidimensional Skills," Department of Economics Working Papers 2007-02, McMaster University.
    19. Kate Antonovics & Limor Golan, 2012. "Experimentation and Job Choice," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 333-366.
    20. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.

    More about this item

    Keywords

    Labor market; Occupational training;

    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:fip:fedcwp:1225. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: 4D Library (email available below). General contact details of provider: https://edirc.repec.org/data/frbclus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.