IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/0143.html
   My bibliography  Save this paper

The Distribution of Earnings Profiles in Longitudinal Data

Author

Listed:
  • George J. Borjas
  • Jacob Mincer

Abstract

We take advantage of our longitudinal data to explore individual variation in the parameters of individual earnings functions. (1) For this purpose we fit an earnings function to each of the individual histories in the sample.(2) We then try to ascertain the extent to which the estimated variation in individual parameters helps in explaining the cross-sectional variation in earnings.(3) we further inquire into the relation between the individual parameters and a vector of personal characteristics, as well as(4) into indirect (via variables and parameters) and direct effects of these characteristics on earnings.

Suggested Citation

  • George J. Borjas & Jacob Mincer, 1976. "The Distribution of Earnings Profiles in Longitudinal Data," NBER Working Papers 0143, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:0143
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w0143.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    2. Weiss, Yoram & Lillard, Lee A, 1978. "Experience, Vintage, and Time Effects in the Growth of Earnings: American Scientists, 1960-1970," Journal of Political Economy, University of Chicago Press, vol. 86(3), pages 427-447, June.
    3. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ann P. Bartel & George J. Borjas, 1977. "Middle-Age Job Mobility: Its Determinants and Consequences," NBER Working Papers 0161, National Bureau of Economic Research, Inc.
    2. J. R. Kearl, 1985. "The Covariance Structure of Earnings and Income, Compensatory Behavior and On-the-Job Investments," NBER Working Papers 1747, National Bureau of Economic Research, Inc.

    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. Huggett, Mark & Ventura, Gustavo & Yaron, Amir, 2006. "Human capital and earnings distribution dynamics," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 265-290, March.
    2. Paul Miller & Paul Volker, 1993. "Youth Wages, Risk, and Tertiary Finance Arrangements," The Economic Record, The Economic Society of Australia, vol. 69(1), pages 20-33, March.
    3. Mark Huggett & Gustavo Ventura & Amir Yaron, 2011. "Sources of Lifetime Inequality," American Economic Review, American Economic Association, vol. 101(7), pages 2923-2954, December.
    4. Fershtman, Chaim & Weiss, Yoram, 1993. "Social Status, Culture and Economic Performance," Economic Journal, Royal Economic Society, vol. 103(419), pages 946-959, July.
    5. Audra J. Bowlus & Chris Robinson, 2012. "Human Capital Prices, Productivity, and Growth," American Economic Review, American Economic Association, vol. 102(7), pages 3483-3515, December.
    6. repec:eee:labchp:v:1:y:1986:i:c:p:603-640 is not listed on IDEAS
    7. Neuman, Shoshana & Weiss, Avi, 1995. "On the effects of schooling vintage on experience-earnings profiles: Theory and evidence," European Economic Review, Elsevier, vol. 39(5), pages 943-955, May.
    8. Katarzyna Growiec & Jakub Growiec, 2016. "Bridging Social Capital and Individual Earnings: Evidence for an Inverted U," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 601-631, June.
    9. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    10. Sebastian Stolorz, 2005. "A Test of the Signalling Hypothesis - Evidence from Natural Experiment," Labor and Demography 0512008, University Library of Munich, Germany.
    11. Schultz, T. Paul, 2009. "The Gender and Generational Consequences of the Demographic Transition and Population Policy: An Assessment of the Micro and Macro Linkages," Working Papers 71, Yale University, Department of Economics.
    12. Aidis, Ruta & van Praag, Mirjam, 2007. "Illegal entrepreneurship experience: Does it make a difference for business performance and motivation?," Journal of Business Venturing, Elsevier, vol. 22(2), pages 283-310, March.
    13. Sandra Nieto & Raúl Ramos, 2013. "Non-Formal Education, Overeducation And Wages," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, vol. 21(1), pages 5-28, Spring.
    14. repec:dau:papers:123456789/4924 is not listed on IDEAS
    15. Jarle Moen, 2005. "Is Mobility of Technical Personnel a Source of R&D Spillovers?," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 81-114, January.
    16. Galama, Titus & Kapteyn, Arie, 2011. "Grossman’s missing health threshold," Journal of Health Economics, Elsevier, vol. 30(5), pages 1044-1056.
    17. Todd Pugatch, 2014. "Safety valve or sinkhole? Vocational schooling in South Africa," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-31, December.
    18. Cawley, John & Morrisey, Michael A., 2007. "The earnings of U.S. health economists," Journal of Health Economics, Elsevier, vol. 26(2), pages 358-372, March.
    19. Ward-Warmedinger, Melanie E., 1999. "Salary and the Gender Salary Gap in the Academic Profession," IZA Discussion Papers 64, Institute of Labor Economics (IZA).
    20. Ilhom Abdulloev & Ira N Gang & Myeong-Su Yun, 2014. "Migration, Education and the Gender Gap in Labour Force Participation," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 26(4), pages 509-526, September.
    21. James J. Heckman, 2019. "The Race Between Demand and Supply: Tinbergen’s Pioneering Studies of Earnings Inequality," De Economist, Springer, vol. 167(3), pages 243-258, September.
    22. Domadenik, Polona & Far?nik, Daša & Pastore, Francesco, 2013. "Horizontal Mismatch in the Labour Market of Graduates: The Role of Signalling," IZA Discussion Papers 7527, Institute of Labor Economics (IZA).

    More about this item

    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:nbr:nberwo:0143. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.