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Automation with heterogeneous agents: The effect on consumption inequality

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  • Santini, Tommaso

Abstract

In this paper, I study technological change as a candidate for the observed increase in consumption inequality in the United States. I build an incomplete market model with educational choice combined with a task-based model on the production side. I consider two channels through which technology affects inequality: the skill that an agent can supply in the labor market and the level of capital she owns. In a quantitative analysis, I show that (i) the model replicates the increase in consumption inequality between 1981 and 2008 in the US (ii) educational choice and the return to wealth are quantitatively important in explaining the increase in consumption inequality.

Suggested Citation

  • Santini, Tommaso, 2022. "Automation with heterogeneous agents: The effect on consumption inequality," IWH Discussion Papers 28/2022, Halle Institute for Economic Research (IWH).
    • Handle: RePEc:zbw:iwhdps:282022
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    References listed on IDEAS

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    1. Joseph Zeira, 1998. "Workers, Machines, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1091-1117.
    2. Autor, David H., 2013. "The "task approach" to labor markets : an overview," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(3), pages 185-199.
    3. Per Krusell & Anthony Smith & Joachim Hubmer, 2015. "The historical evolution of the wealth distribution: A quantitative-theoretic investigation," 2015 Meeting Papers 1406, Society for Economic Dynamics.
    4. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    5. Nigar Hashimzade & Michael A. Thornton (ed.), 2013. "Handbook of Research Methods and Applications in Empirical Macroeconomics," Books, Edward Elgar Publishing, number 14327.
    6. Orazio Attanasio & Luigi Pistaferri, 2014. "Consumption Inequality over the Last Half Century: Some Evidence Using the New PSID Consumption Measure," American Economic Review, American Economic Association, vol. 104(5), pages 122-126, May.
    7. Acemoglu, Daron & Gancia, Gino & Zilibotti, Fabrizio, 2012. "Competing engines of growth: Innovation and standardization," Journal of Economic Theory, Elsevier, vol. 147(2), pages 570-601.3.
    8. 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.
    9. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 659-684.
    10. 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.
    11. Alan Manning, 2004. "We Can Work It Out: The Impact of Technological Change on the Demand for Low‐Skill Workers," Scottish Journal of Political Economy, Scottish Economic Society, vol. 51(5), pages 581-608, November.
    12. Richard Blundell & Luigi Pistaferri & Itay Saporta-Eksten, 2016. "Consumption Inequality and Family Labor Supply," American Economic Review, American Economic Association, vol. 106(2), pages 387-435, February.
    13. Joao Guerreiro & Sergio Rebelo & Pedro Teles, 2022. "Should Robots Be Taxed?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 279-311.
    14. Mark Aguiar & Mark Bils, 2015. "Has Consumption Inequality Mirrored Income Inequality?," American Economic Review, American Economic Association, vol. 105(9), pages 2725-2756, September.
    15. 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.
    16. Bridgman, Benjamin, 2018. "Is Labor'S Loss Capital'S Gain? Gross Versus Net Labor Shares," Macroeconomic Dynamics, Cambridge University Press, vol. 22(8), pages 2070-2087, December.
    17. Alan Manning, 2004. "We Can Work It Out: the Impact of Technological Change on the Demand for Low Skill Workers," CEP Discussion Papers dp0640, Centre for Economic Performance, LSE.
    18. Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-446, July.
    19. Fatih Guvenen, 2009. "An Empirical Investigation of Labor Income Processes," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(1), pages 58-79, January.
    20. Tarek Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2019. "Uneven Growth: Automation’s Impact on Income and Wealth Inequality," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-333, Boston University - Department of Economics.
    21. 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.
    22. Jeffrey Lin, 2011. "Technological Adaptation, Cities, and New Work," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 554-574, May.
    23. 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.
    24. Kaymak, Barış & Poschke, Markus, 2016. "The evolution of wealth inequality over half a century: The role of taxes, transfers and technology," Journal of Monetary Economics, Elsevier, vol. 77(C), pages 1-25.
    25. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2018. "Adjusting to Robots: Worker-Level Evidence," Opportunity and Inclusive Growth Institute Working Papers 13, Federal Reserve Bank of Minneapolis.
    26. Daniel Susskind, 2017. "A Model of Technological Unemployment," Economics Series Working Papers 819, University of Oxford, Department of Economics.
    27. Orazio P. Attanasio & Luigi Pistaferri, 2016. "Consumption Inequality," Journal of Economic Perspectives, American Economic Association, vol. 30(2), pages 3-28, Spring.
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    More about this item

    Keywords

    automation; factor shares; inequality; productivity; tasks; technological change;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • 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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