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How automation and skill gaps fail to explain wage suppression or wage inequality
[Are the Job Prospects of Recent College Graduates Improving?]

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  • Lawrence Mishel

Abstract

Wage gaps between “skilled” and “unskilled” earners in the United States are conventionally attributed to U.S. workers’ “skill deficits,” or lack of skills necessary to deal with technological change, particularly automation. This paper argues instead that skills deficit/automation claims have always been a weak explanation for post-1979 trends. Since the mid-1990s all indications are that there is no basis for considering automation to be a significant factor in wage suppression or the growth of wage inequality. Rather, inequality growth has been an outgrowth of developments in the labor market rather than product markets. The key dynamic undercutting the typical worker’s wage growth has been the strengthening of employers’ power relative to their white-collar and blue-collar workers. The cause has not been monopoly firms exercising their power in product markets by charging higher prices to consumers. Monopolization has indeed contributed to wage suppression, but even this factor has largely run through the labor market, as monopoly firms squeezed supplier chain firms which in turn undercut their own workers’ wages while seeing a profit squeeze as well. The paper concludes that what is needed is a better balancing of power in the labor market rather than a perfecting of competition.

Suggested Citation

  • Lawrence Mishel, 2022. "How automation and skill gaps fail to explain wage suppression or wage inequality [Are the Job Prospects of Recent College Graduates Improving?]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 269-280.
  • Handle: RePEc:oup:indcch:v:31:y:2022:i:2:p:269-280.
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    References listed on IDEAS

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    1. Paul Beaudry & David A. Green & Benjamin M. Sand, 2016. "The Great Reversal in the Demand for Skill and Cognitive Tasks," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 199-247.
    2. Daron Acemoglu & David Autor, 2012. "What Does Human Capital Do? A Review of Goldin and Katz's The Race between Education and Technology," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 426-463, June.
    3. David Autor & Claudia Goldin & Lawrence F. Katz, 2020. "Extending the Race between Education and Technology," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 347-351, May.
    4. Hunt, Jennifer & Nunn, Ryan, 2019. "Is Employment Polarization Informative about Wage Inequality and Is Employment Really Polarizing?," IZA Discussion Papers 12472, Institute of Labor Economics (IZA).
    5. David R. Howell & Susan S. Wieler, 1998. "Skill-Biased Demand Shifts and the Wage Collapse in the United States: A Critical Perspective," Eastern Economic Journal, Eastern Economic Association, vol. 24(3), pages 343-366, Summer.
    6. 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.
    7. Josh Bivens & Lawrence Mishel, 2013. "The Pay of Corporate Executives and Financial Professionals as Evidence of Rents in Top 1 Percent Incomes," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 57-78, Summer.
    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 Autor, 2014. "Polanyi's Paradox and the Shape of Employment Growth," NBER Working Papers 20485, National Bureau of Economic Research, Inc.
    10. Paul Beaudry & David A. Green & Benjamin M. Sand, 2014. "The Declining Fortunes of the Young since 2000," American Economic Review, American Economic Association, vol. 104(5), pages 381-386, May.
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    Cited by:

    1. Giovanni Dosi, 2022. "The Agenda for Evolutionary Economics: Results, Dead Ends, and Challenges Ahead," LEM Papers Series 2022/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Federico Riccio & Lorenzo Cresti & Maria Enrica Virgillito, 2022. "The labour share along global value chains. Perspectives and evidence from sectoral interdependence," LEM Papers Series 2022/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2024. "Two neglected origins of inequality: hierarchical power and care work," LEM Papers Series 2024/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

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