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Tasks, Automation, and the Rise in U.S. Wage Inequality

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  • Daron Acemoglu
  • Pascual Restrepo

Abstract

We document that between 50% and 70% of changes in the U.S. wage structure over the last four decades are accounted for by relative wage declines of worker groups specialized in routine tasks in industries experiencing rapid automation. We develop a conceptual framework where tasks across industries are allocated to different types of labor and capital. Automation technologies expand the set of tasks performed by capital, displacing certain worker groups from jobs for which they have comparative advantage. This framework yields a simple equation linking wage changes of a demographic group to the task displacement it experiences. We report robust evidence in favor of this relationship and show that regression models incorporating task displacement explain much of the changes in education wage differentials between 1980 and 2016. The negative relationship between wage changes and task displacement is unaffected when we control for changes in market power, deunionization, and other forms of capital deepening and technology unrelated to automation. We also propose a methodology for evaluating the full general equilibrium effects of automation, which incorporate induced changes in industry composition and ripple effects due to task reallocation across different groups. Our quantitative evaluation explains how major changes in wage inequality can go hand‐in‐hand with modest productivity gains.

Suggested Citation

  • Daron Acemoglu & Pascual Restrepo, 2022. "Tasks, Automation, and the Rise in U.S. Wage Inequality," Econometrica, Econometric Society, vol. 90(5), pages 1973-2016, September.
  • Handle: RePEc:wly:emetrp:v:90:y:2022:i:5:p:1973-2016
    DOI: 10.3982/ECTA19815
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    Cited by:

    1. Josten, Cecily & Lordan, Grace, 2022. "Automation and the Changing Nature of Work," IZA Discussion Papers 15180, Institute of Labor Economics (IZA).
    2. Tom Kemeny & Sergio Petralia & Michael Storper, 2022. "Disruptive innovation and spatial inequality," Papers in Evolutionary Economic Geography (PEEG) 2211, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2022.
    3. Brunello, Giorgio & Rückert, Désirée & Weiss, Christoph T. & Wruuck, Patricia, 2023. "Advanced Digital Technologies and Investment in Employee Training: Complements or Substitutes?," IZA Discussion Papers 15936, Institute of Labor Economics (IZA).
    4. Aziz, Imran & Cortes, Guido Matias, 2021. "Between-group inequality may decline despite a rising skill premium," Labour Economics, Elsevier, vol. 72(C).
    5. Albinowski, Maciej & Lewandowski, Piotr, 2022. "The Impact of ICT and Robots on Labour Market Outcomes of Demographic Groups in Europe," IZA Discussion Papers 15752, Institute of Labor Economics (IZA).
    6. 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.
    7. Arthur Jacobs, 2022. "Capital-augmenting technical change in the context of untapped automation opportunities," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 22/1046, Ghent University, Faculty of Economics and Business Administration.
    8. Samuel Cole & Zachary Cowell & John M. Nunley & R. Alan Seals Jr, 2022. "The Distribution of Occupational Tasks in the United States: Implications for a Diverse and Aging Population," Papers 2205.00497, arXiv.org.
    9. Arntz, Melanie & Blesse, Sebastian & Doerrenberg, Philipp, 2022. "The end of work is near, isn't it? Survey evidence on automation angst," ZEW Discussion Papers 22-036, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    JEL classification:

    • 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
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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