IDEAS home Printed from https://ideas.repec.org/a/fip/fedmqr/y2004idecp10-29nv.28no.2.html
   My bibliography  Save this article

The evolution of U.S. earnings inequality: 1961?2002

Author

Listed:
  • Zvi Eckstein
  • Eva Nagypal

Abstract

The goal of this article is to summarize the main trends in the earnings and employment distribution in the United States using data drawn from the March Current Population Surveys covering the period between 1961 and 2002. We show that inequality started to increase for men in 1974, and for women in 1981, and for both genders inequality continued to increase throughout 2002. During the same period the wage premium of college graduates over non-college workers increased substantially and the ratio of college educated workers to non-college workers also increased. These facts support the popular skill-biased technical change (SBTC) hypothesis. However, other facts raise some doubts about the SBTC hypothesis. First, the college wage premium is mainly due to workers with a postgraduate degree, but their increase in the labor force started much earlier than the spectacular rise in their wages. Also there has been no marked change in recent decades in the occupational distribution of workers. However, the earning premium of professional over blue collar workers followed the same trend as the college earning premium. And finally, the most dramatic changes in the labor market took place among women.

Suggested Citation

  • Zvi Eckstein & Eva Nagypal, 2004. "The evolution of U.S. earnings inequality: 1961?2002," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 28(Dec), pages 10-29.
  • Handle: RePEc:fip:fedmqr:y:2004:i:dec:p:10-29:n:v.28no.2
    as

    Download full text from publisher

    File URL: http://minneapolisfed.org/research/common/pub_detail.cfm?pb_autonum_id=1026
    Download Restriction: no

    File URL: http://minneapolisfed.org/research/QR/QR2822.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Willis, Robert J., 1987. "Wage determinants: A survey and reinterpretation of human capital earnings functions," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 10, pages 525-602, Elsevier.
    2. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    3. Thomas Lemieux, 2006. "Increasing Residual Wage Inequality: Composition Effects, Noisy Data, or Rising Demand for Skill?," American Economic Review, American Economic Association, vol. 96(3), pages 461-498, June.
    4. Philippe Aghion, 2002. "Schumpeterian Growth Theory and the Dynamics of Income Inequality," Econometrica, Econometric Society, vol. 70(3), pages 855-882, May.
    5. James J. Heckman & Lance J. Lochner & Petra E. Todd, 2003. "Fifty Years of Mincer Earnings Regressions," NBER Working Papers 9732, National Bureau of Economic Research, Inc.
    6. Daron Acemoglu, 2003. "Patterns of Skill Premia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 199-230.
    7. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-442, June.
    8. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    9. Donghoon Lee & Kenneth I. Wolpin, 2006. "Intersectoral Labor Mobility and the Growth of the Service Sector," Econometrica, Econometric Society, vol. 74(1), pages 1-46, 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. Lance Lochner & Youngki Shin, 2014. "Understanding Earnings Dynamics: Identifying and Estimating the Changing Roles of Unobserved Ability, Permanent and Transitory Shocks," NBER Working Papers 20068, National Bureau of Economic Research, Inc.
    2. Hübler, Olaf, 2003. "Geschlechtsspezifische Lohnunterschiede (Gender-specific wage differentials)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 36(4), pages 539-559.
    3. Hornstein, Andreas & Krusell, Per & Violante, Giovanni L., 2005. "The Effects of Technical Change on Labor Market Inequalities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 20, pages 1275-1370, Elsevier.
    4. Lee, Donghoon & Wolpin, Kenneth I., 2010. "Accounting for wage and employment changes in the US from 1968-2000: A dynamic model of labor market equilibrium," Journal of Econometrics, Elsevier, vol. 156(1), pages 68-85, May.
    5. Christopher Bollinger & James P. Ziliak & Kenneth R. Troske, 2011. "Down from the Mountain: Skill Upgrading and Wages in Appalachia," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 819-857.
    6. Jeffrey Brown & Chichun Fang & Francisco Gomes, 2012. "Risk and Returns to Education," NBER Working Papers 18300, National Bureau of Economic Research, Inc.
    7. Hübler, Olaf, 2003. "Geschlechtsspezifische Lohnunterschiede (Gender-specific wage differentials)," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 36(4), pages 539-559.
    8. Borghans, Lex & ter Weel, Bas, 2007. "The diffusion of computers and the distribution of wages," European Economic Review, Elsevier, vol. 51(3), pages 715-748, April.
    9. Marquis, Milton H. & Trehan, Bharat & Tantivong, Wuttipan, 2014. "The wage premium puzzle and the quality of human capital," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 100-110.
    10. Capatina, Elena, 2014. "Skills and the evolution of wage inequality," Labour Economics, Elsevier, vol. 28(C), pages 41-57.
    11. Rongsheng Tang & Yang Tang & Ping Wang, 2020. "Within-Job Wage Inequality: Performance Pay and Job Relatedness," NBER Working Papers 27390, National Bureau of Economic Research, Inc.
    12. Oscar Afonso, 2010. "Growth And Wage Inequality In A Scale‐Independent Model With R&D And Human‐Capital Accumulation," Manchester School, University of Manchester, vol. 78(2), pages 149-182, March.
    13. Yip, Chi Man, 2010. "Can't SBTC explain the U.S. wage inequality dynamics?," MPRA Paper 31198, University Library of Munich, Germany.
    14. Hornstein, Andreas & Krusell, Per & Violante, Giovanni L., 2005. "The Effects of Technical Change on Labor Market Inequalities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 20, pages 1275-1370, Elsevier.
    15. Joanna Tyrowicz & Lucas van der Velde, 2017. "When the opportunity knocks: large structural shocks and gender wage gaps," GRAPE Working Papers 2, GRAPE Group for Research in Applied Economics.
    16. Zsófia L. Bárány, 2016. "The Minimum Wage and Inequality: The Effects of Education and Technology," Journal of Labor Economics, University of Chicago Press, vol. 34(1), pages 237-274.
    17. James Spletzer & Elizabeth Weber Handwerker, 2015. "The Role of Establishments and the Concentration of Occupations in Wage Inequality," Working Papers id:7427, eSocialSciences.
    18. Verdugo, G. & Fraisse, H. & Horny, G., 2012. "Changes In Wage Inequality In France: The Impact Of Composition Effects (in French)," Working papers 370, Banque de France.
    19. 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.
    20. Verdugo, Gregory, 2014. "The great compression of the French wage structure, 1969–2008," Labour Economics, Elsevier, vol. 28(C), pages 131-144.

    More about this item

    Keywords

    Income distribution;

    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:fedmqr:y:2004:i:dec:p:10-29:n:v.28no.2. 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: Kate Hansel (email available below). General contact details of provider: https://edirc.repec.org/data/cfrbmus.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.