IDEAS home Printed from https://ideas.repec.org/a/spr/eaiere/v16y2019i1d10.1007_s40844-018-0100-2.html
   My bibliography  Save this article

Skills tasks, and class- an integrated class based approach to understanding recent trends in economic inequality in the USA

Author

Listed:
  • Adam James Berg

    (Kyoto University)

Abstract

This paper examines the large body of literature regarding the evolution of income inequality in the USA over the last several decades, and interprets it in an integrated class framework. Namely, the canonical supply–demand model for skilled labor, the skill biased technological change/routine biased technological change literature, and Piketty’s “super-manager” hypothesis are examined and integrated into Erik Olin Wright’s class framework. In doing so, this paper clarifies the causal links between income and skills, tasks, class, and income, as well as the flows of people from skills to jobs/occupations and class by mapping these connections on a class framework. By breaking down the complementary factors involved in growing economic inequality described in the literature, this paper (1) lays the foundation for separately analyzing the evolution of the causal links and flows described in the literature, (2) identifies elements in the literature that are sometimes conflated, and (3) endogenizes the institutional factors that shape the causal mechanism. These connections are supported with calculations of wage trends from 1980 to 2010 using May/ORG data-sets, and the income variance for the period is decomposed by skill, tasks, and class.

Suggested Citation

  • Adam James Berg, 2019. "Skills tasks, and class- an integrated class based approach to understanding recent trends in economic inequality in the USA," Evolutionary and Institutional Economics Review, Springer, vol. 16(1), pages 117-138, June.
  • Handle: RePEc:spr:eaiere:v:16:y:2019:i:1:d:10.1007_s40844-018-0100-2
    DOI: 10.1007/s40844-018-0100-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40844-018-0100-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40844-018-0100-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Autor & David Dorn, 2009. "This Job Is "Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure," American Economic Review, American Economic Association, vol. 99(2), pages 45-51, May.
    2. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    3. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2006. "The Polarization of the U.S. Labor Market," American Economic Review, American Economic Association, vol. 96(2), pages 189-194, May.
    6. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    7. 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.
    8. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    9. 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.
    10. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    11. Joanne Lindley & Stephen Machin, 2016. "The Rising Postgraduate Wage Premium," Economica, London School of Economics and Political Science, vol. 83(330), pages 281-306, April.
    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. Dirk Antonczyk & Thomas DeLeire & Bernd Fitzenberger, 2018. "Polarization and Rising Wage Inequality: Comparing the U.S. and Germany," Econometrics, MDPI, vol. 6(2), pages 1-33, April.
    2. Ariell Reshef, 2013. "Is Technological Change Biased Towards the Unskilled in Services? An Empirical Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(2), pages 312-331, April.
    3. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Janssen, Simon & Mohrenweiser, Jens, 2018. "The Shelf Life of Incumbent Workers during Accelerating Technological Change: Evidence from a Training Regulation Reform," IZA Discussion Papers 11312, Institute of Labor Economics (IZA).
    5. 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.
    6. Koomen, Miriam & Backes-Gellner, Uschi, 2022. "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, vol. 79(C).
    7. 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.
    8. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    9. Sevinç, Orhun, 2017. "Skill-biased technical change and Labor market polarization:the role of skill heterogeneity within occupations," LSE Research Online Documents on Economics 86147, London School of Economics and Political Science, LSE Library.
    10. Andrea Salvatori, 2018. "The anatomy of job polarisation in the UK," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-15, December.
    11. Vallizadeh E. & Muysken J. & Ziesemer T.H.W., 2015. "Offshoring of medium-skill jobs, polarization, and productivity effect: Implications for wages and low-skill unemployment," MERIT Working Papers 2015-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    13. Barbara Pertold-Gebicka, 2010. "Measuring Skill Intensity of Occupations with Imperfect Substitutability Across Skill Types," CERGE-EI Working Papers wp421, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    14. Vahagn Jerbashian, 2019. "Automation and Job Polarization: On the Decline of Middling Occupations in Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(5), pages 1095-1116, October.
    15. Van Reenen, John, 2011. "Wage inequality, technology and trade: 21st century evidence," Labour Economics, Elsevier, vol. 18(6), pages 730-741.
    16. Einiö, Elias, 2015. "The Loss of Production Work: Identification of Demand Shifts Based on Local Soviet Trade Shocks," Working Papers 61, VATT Institute for Economic Research.
    17. Koch, Philipp & Köppl-Turyna, Monika, 2021. "International mobile Arbeitskräfte: Der neue Standortwettbewerb," Policy Notes 47, EcoAustria – Institute for Economic Research.
    18. Manuel A. Hidalgo-Pérez & Benedetto Molinari, 2022. "The effect of early automation on the wage distribution with endogenous occupational choices," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 1055-1082, October.
    19. Bhalotra, Sonia R & Fernández, Manuel & Wang, Fan, 2022. "The distribution of the gender wage gap : An equilibrium model," CAGE Online Working Paper Series 614, Competitive Advantage in the Global Economy (CAGE).
    20. Cavenaile, Laurent, 2021. "Offshoring, computerization, labor market polarization and top income inequality," Journal of Macroeconomics, Elsevier, vol. 69(C).

    More about this item

    Keywords

    Inequality; Class; Skill; Tasks;
    All these keywords.

    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

    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:spr:eaiere:v:16:y:2019:i:1:d:10.1007_s40844-018-0100-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.