IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp7825.html
   My bibliography  Save this paper

The US Labor Market in 2030: A Scenario Based on Current Trends in Supply and Demand

Author

Listed:
  • Edwards, Rebecca

    (University of Sydney)

  • Lange, Fabian

    (McGill University)

Abstract

Three fundamental forces have shaped labor markets over the last 50 years: the secular increase in the returns to education, educational upgrading, and the integration of large numbers of women into the workforce. We modify the Katz and Murphy (1992) framework to predict the structure of the labor market in 2030. Even though the share of educated females in the workforce will grow rapidly, the supply response will not suffice to offset the trend in demand towards skilled, female labor. Wage growth over the next 20 years will continue to favor college educated workers and in particular college educated females.

Suggested Citation

  • Edwards, Rebecca & Lange, Fabian, 2013. "The US Labor Market in 2030: A Scenario Based on Current Trends in Supply and Demand," IZA Discussion Papers 7825, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7825
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp7825.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lawrence F. Katz & Kevin M. Murphy, 1992. "Changes in Relative Wages, 1963–1987: Supply and Demand Factors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(1), pages 35-78.
    2. James Heckman & Lance Lochner & Christopher Taber, 1998. "Explaining Rising Wage Inequality: Explanations With A Dynamic General Equilibrium Model of Labor Earnings With Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(1), pages 1-58, January.
    3. Barry T. Hirsch & Edward J. Schumacher, 2004. "Match Bias in Wage Gap Estimates Due to Earnings Imputation," Journal of Labor Economics, University of Chicago Press, vol. 22(3), pages 689-722, July.
    4. 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.
    5. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    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. Mathias Dolls & Karina Doorley & Alari Paulus & Hilmar Schneider & Eric Sommer, 2019. "Demographic change and the European income distribution," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 337-357, September.
    2. Amer Ahmed & Maurizio Bussolo & Marcio Cruz & Delfin S. Go & Israel Osorio-Rodarte, 2020. "Global Inequality in a more educated world," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(4), pages 585-616, December.
    3. de Brauw, Alan & Russell, Joseph R. D, 2014. "Revisiting the labor demand curve: The wage effects of immigration and women’s entry into the US labor force, 1960–2010:," IFPRI discussion papers 1402, International Food Policy Research Institute (IFPRI).

    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. 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.
    2. Joseph G. Altonji & Prashant Bharadwaj & Fabian Lange, 2012. "Changes in the Characteristics of American Youth: Implications for Adult Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 783-828.
    3. Eberhard, Juan, 2012. "Immigration, Human Capital and the Welfare of Natives," MPRA Paper 37844, University Library of Munich, Germany.
    4. Zeynep Elitas & Hakan Ercan & Semih Tumen, 2015. "Reassessing the trends in the relative supply of college-equivalent workers in the U.S.: a selection-correction approach," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 249-273, June.
    5. Goel, Manisha, 2017. "Inequality Between and Within Skill Groups: The Curious Case of India," World Development, Elsevier, vol. 93(C), pages 153-176.
    6. Bhalotra, Sonia & Fernandez Sierra, Manuel, 2018. "The distribution of the gender wage gap," ISER Working Paper Series 2018-10, Institute for Social and Economic Research.
    7. Sara Moreira, 2018. "The Role of Sectoral Composition in the Evolution of the Skill Wage Premium," 2018 Meeting Papers 850, Society for Economic Dynamics.
    8. T. Gries & R. Grundmann & I. Palnau & M. Redlin, 2017. "Innovations, growth and participation in advanced economies - a review of major concepts and findings," International Economics and Economic Policy, Springer, vol. 14(2), pages 293-351, April.
    9. Verdugo, Gregory, 2014. "The great compression of the French wage structure, 1969–2008," Labour Economics, Elsevier, vol. 28(C), pages 131-144.
    10. 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.
    11. repec:hal:spmain:info:hdl:2441/4jgjdlef848r49dq2dv8go26r7 is not listed on IDEAS
    12. Monte, Ferdinando, 2011. "Skill bias, trade, and wage dispersion," Journal of International Economics, Elsevier, vol. 83(2), pages 202-218, March.
    13. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    14. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2011. "Estimating trends in US income inequality using the Current Population Survey: the importance of controlling for censoring," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(3), pages 393-415, September.
    15. Alessandra Bonfiglioli & Gino Gancia, 2019. "Heterogeneity, selection and labor market disparities," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 305-325, January.
    16. Eric D Gould, 2019. "Explaining the Unexplained: Residual Wage Inequality, Manufacturing Decline and Low-skilled Immigration," The Economic Journal, Royal Economic Society, vol. 129(619), pages 1281-1326.
    17. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2011. "Measuring inequality using censored data: a multiple‐imputation approach to estimation and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 63-81, January.
    18. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2015. "Wage Inequality and Firm Growth," LIS Working papers 632, LIS Cross-National Data Center in Luxembourg.
    19. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).
    20. David Hémous & Morten Olsen, 2022. "The Rise of the Machines: Automation, Horizontal Innovation, and Income Inequality," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(1), pages 179-223, January.
    21. Fabián Slonimczyk, 2013. "Earnings inequality and skill mismatch in the U.S.: 1973–2002," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(2), pages 163-194, June.

    More about this item

    Keywords

    wage growth; trends in labor demand and supply;

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:iza:izadps:dp7825. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.