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Computerization, Composition of Employment, and Structure of Wages

Author

Listed:
  • Robert Plant

    (University of Miami)

  • Manuel S. Santos

    (University of Miami)

  • Tarek Sayed

    (University of Miami)

Abstract

Technology investment has been consistently growing since the 1950s when the mainframe started to impact the organization followed by the introduction of the PC in the early 1980s. Mainframes and minicomputers evolved into a distributed environment, which later gave way to the mobile platform, and to the machine to machine interactions. We study the impact of these technology episodes on US labor market trends. We focus on the composition of employment, varying compensation premiums across occupations, as well as a declining labor income share. We isolate some job attributes which have resisted computerization.

Suggested Citation

  • Robert Plant & Manuel S. Santos & Tarek Sayed, 2017. "Computerization, Composition of Employment, and Structure of Wages," Working Papers 2017-09, University of Miami, Department of Economics.
    • Handle: RePEc:mia:wpaper:2017-09
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    File URL: https://www.herbert.miami.edu/_assets/files/repec/WP2017-09.pdf
    File Function: First version, 2017
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    References listed on IDEAS

    as
    1. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
    2. 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.
    3. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The China Syndrome: Local Labor Market Effects of Import Competition in the United States," American Economic Review, American Economic Association, vol. 103(6), pages 2121-2168, October.
    4. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    5. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    6. Gonzalo Castex & Evgenia Kogan Dechter, 2014. "The Changing Roles of Education and Ability in Wage Determination," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 685-710.
    7. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    8. Francisco J Buera & Joseph P Kaboski & Richard Rogerson & Juan I Vizcaino, 2022. "Skill-Biased Structural Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 592-625.
    9. Heckman, James J. & Kautz, Tim, 2012. "Hard evidence on soft skills," Labour Economics, Elsevier, vol. 19(4), pages 451-464.
    10. Catherine J. Weinberger, 2014. "The Increasing Complementarity between Cognitive and Social Skills," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 849-861, December.
    11. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    12. Boyan Jovanovic, 2009. "The Technology Cycle and Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 707-729.
    13. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    14. Arnaud Costinot & Jonathan Vogel, 2010. "Matching and Inequality in the World Economy," Journal of Political Economy, University of Chicago Press, vol. 118(4), pages 747-786, August.
    15. Kerwin Kofi Charles & Erik Hurst & Matthew J. Notowidigdo, 2016. "The Masking of the Decline in Manufacturing Employment by the Housing Bubble," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 179-200, Spring.
    16. 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.
    17. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    18. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    19. 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.
    20. Podczeck, Konrad, 1992. "General Equilibrium with Differentiated Commodities: The Linear Activity Model without Joint Production," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 2(2), pages 247-263, April.
    21. Teulings, Coen N, 1995. "The Wage Distribution in a Model of the Assignment of Skills to Jobs," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 280-315, April.
    22. repec:oup:qjecon:v:129:y:2013:i:1:p:61-103 is not listed on IDEAS
    23. 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.
    24. Richard Rogerson & Joseph Kaboski & Francisco Buera, 2015. "Skill-Biased Structural Change and the Skill Premium," 2015 Meeting Papers 895, Society for Economic Dynamics.
    25. Sattinger, Michael, 1975. "Comparative Advantage and the Distributions of Earnings and Abilities," Econometrica, Econometric Society, vol. 43(3), pages 455-468, May.
    26. Marco Castaneda & James Marton, 2008. "A Model of Commodity Differentiation with Indivisibilities and Production," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 34(1), pages 85-106, January.
    27. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-1165, December.
    28. Stephen V. Cameron & James J. Heckman, 2001. "The Dynamics of Educational Attainment for Black, Hispanic, and White Males," Journal of Political Economy, University of Chicago Press, vol. 109(3), pages 455-499, June.
    29. Daniel Aaronson & Jonathan Davis & Luojia Hu, 2012. "Explaining the decline in the U.S. labor force participation rate," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Mar.
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    Cited by:

    1. David H. Bernstein & Andrew B. Martinez, 2021. "Jointly Modeling Male and Female Labor Participation and Unemployment," Econometrics, MDPI, vol. 9(4), pages 1-14, December.

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    More about this item

    Keywords

    Technology eras; computerization; job attributes; education attainment; structured vs. unstructured work; social perceptiveness. Publication Status: Submitted;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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