IDEAS home Printed from https://ideas.repec.org/p/dls/wpaper/0307.html
   My bibliography  Save this paper

Robots, Exports and Top Income Inequality: Evidence for the U.S

Author

Listed:
  • Andrés César

    (CEDLAS - IIE-UNLP)

  • Guillermo Falcone

    (CEDLAS - IIE-UNLP)

  • Pablo Garriga

    (World Bank)

Abstract

The last decades have witnessed a revolution in manufacturing production characterized by increasing technology adoption and a strong expansion of international trade. Simultaneously, the income distribution has exhibited both polarization and concentration among the richest. Combining datasets from the U.S. Census Bureau, the U.S. Internal Revenue Service, the International Federation of Robotics, and EU KLEMS, we study the causal effect of industrial automation on income inequality in the U.S. during 2010–2015. We exploit spatial and time variations in exposure to robots arising from past differences in industry specialization across U.S. metropolitan areas and the evolution of robot adoption across industries. We document a robust positive impact of robotics on income for only the top 1 percent of taxpayers, which is largest for top income fractiles. Therefore, industrial automation fuels income inequality and, particularly, top income inequality. According to our estimates, one more robot per thousand workers results in relative increments of the total taxable income accruing to fractiles P99 to P99.9, P99.9 to P99.99 and P99.99 to P100, of 2.1 percent, 3.8 percent and 6.4 percent, respectively. We also show that robotization leads to increased exports to high-income and upper-middle-income countries and that this is one of the key mechanisms behind the surge in top incomes.

Suggested Citation

  • Andrés César & Guillermo Falcone & Pablo Garriga, 2022. "Robots, Exports and Top Income Inequality: Evidence for the U.S," CEDLAS, Working Papers 0307, CEDLAS, Universidad Nacional de La Plata.
  • Handle: RePEc:dls:wpaper:0307
    as

    Download full text from publisher

    File URL: http://www.cedlas.econo.unlp.edu.ar/wp/wp-content/uploads/doc_cedlas307.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stemmler, Henry, 2019. "Does automation lead to de-industrialization in emerging economies? Evidence from Brazil," University of Göttingen Working Papers in Economics 382, University of Goettingen, Department of Economics.
    2. Persson, Torsten & Tabellini, Guido, 1994. "Representative democracy and capital taxation," Journal of Public Economics, Elsevier, vol. 55(1), pages 53-70, September.
    3. Thomas Piketty & Emmanuel Saez & Stefanie Stantcheva, 2014. "Optimal Taxation of Top Labor Incomes: A Tale of Three Elasticities," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 230-271, February.
    4. Xavier Gabaix & Augustin Landier, 2008. "Why has CEO Pay Increased So Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 49-100.
    5. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    6. Erhan Artuc & Paulo Bastos & Bob Rijkers, 2020. "Robots, Tasks, and Trade," Working Papers REM 2020/0118, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    8. Jon Bakija & Adam Cole & Bradley Heim, 2008. "Jobs and Income Growth of Top Earners and the Causes of Changing Income Inequality: Evidence from U.S. Tax Return Data," Department of Economics Working Papers 2010-22, Department of Economics, Williams College, revised Jan 2012.
    9. Oded Galor & Joseph Zeira, 1993. "Income Distribution and Macroeconomics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 35-52.
    10. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    11. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    12. David H. Autor & David Dorn & Gordon H. Hanson, 2013. "The Geography of Trade and Technology Shocks in the United States," American Economic Review, American Economic Association, vol. 103(3), pages 220-225, May.
    13. Emmanuel Saez & Gabriel Zucman, 2016. "Editor's Choice Wealth Inequality in the United States since 1913: Evidence from Capitalized Income Tax Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 519-578.
    14. Roland Bénabou, 1996. "Inequality and Growth," NBER Chapters, in: NBER Macroeconomics Annual 1996, Volume 11, pages 11-92, National Bureau of Economic Research, Inc.
    15. Larry M. Bartels, 2016. "The New Gilded Age," Introductory Chapters, in: Unequal Democracy:The Political Economy of the New Gilded Age, Princeton University Press.
    16. 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.
    17. Thomas Piketty & Emmanuel Saez, 2003. "Income Inequality in the United States, 1913–1998," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 1-41.
    18. Lorenzo Caliendo & Esteban Rossi-Hansberg, 2012. "The Impact of Trade on Organization and Productivity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1393-1467.
    19. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    20. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    21. 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.
    22. Faber, Marius, 2020. "Robots and reshoring: Evidence from Mexican labor markets," Journal of International Economics, Elsevier, vol. 127(C).
    23. Larry M. Bartels, 2016. "Unequal Democracy:The Political Economy of the New Gilded Age," Economics Books, Princeton University Press, edition 2, number 10831.
    24. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    25. Ma, Lin & Ruzic, Dimitrije, 2020. "Globalization and top income shares," Journal of International Economics, Elsevier, vol. 125(C).
    26. 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.
    27. Marianne Bertrand & Sendhil Mullainathan, 2001. "Are CEOs Rewarded for Luck? The Ones Without Principals Are," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 901-932.
    28. Bound, John & Johnson, George, 1992. "Changes in the Structure of Wages in the 1980's: An Evaluation of Alternative Explanations," American Economic Review, American Economic Association, vol. 82(3), pages 371-392, June.
    29. Luis Garicano & Esteban Rossi-Hansberg, 2006. "Organization and Inequality in a Knowledge Economy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1383-1435.
    30. Koen De Backer & Timothy DeStefano & Carlo Menon & Jung Ran Suh, 2018. "Industrial robotics and the global organisation of production," OECD Science, Technology and Industry Working Papers 2018/03, OECD Publishing.
    31. Martin Gilens, 2014. "Affluence and Influence: Economic Inequality and Political Power in America," Economics Books, Princeton University Press, edition 1, number 9836.
    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. Florian Scheuer & Joel Slemrod, 2020. "Taxation and the Superrich," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 189-211, August.
    2. Keller, Wolfgang & Olney, William W., 2021. "Globalization and executive compensation," Journal of International Economics, Elsevier, vol. 129(C).
    3. Lekfuangfu, Warn N. & Nakavachara, Voraprapa, 2021. "Reshaping Thailand's labor market: The intertwined forces of technology advancements and shifting supply chains," Economic Modelling, Elsevier, vol. 102(C).
    4. Oliver Denk, 2015. "Who are the top 1% earners in Europe?," OECD Economics Department Working Papers 1274, OECD Publishing.
    5. Brambilla, Irene & César, Andrés & Falcone, Guillermo & Gasparini, Leonardo, 2023. "The impact of robots in Latin America: Evidence from local labor markets," World Development, Elsevier, vol. 170(C).
    6. Cavenaile, Laurent, 2021. "Offshoring, computerization, labor market polarization and top income inequality," Journal of Macroeconomics, Elsevier, vol. 69(C).
    7. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2021. "Is There Job Polarization in Developing Economies? A Review and Outlook," CESifo Working Paper Series 9444, CESifo.
    8. Gravina, Antonio Francesco & Foster-McGregor, Neil, 2020. "Automation, globalisation and relative wages: An empirical analysis of winners and losers," MERIT Working Papers 2020-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    9. Sequeira, Tiago Neves & Garrido, Susana & Santos, Marcelo, 2021. "Robots are not always bad for employment and wages," International Economics, Elsevier, vol. 167(C), pages 108-119.
    10. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    11. Muendler, Marc-Andreas, 2017. "Trade, technology, and prosperity: An account of evidence from a labor-market perspective," WTO Staff Working Papers ERSD-2017-15, World Trade Organization (WTO), Economic Research and Statistics Division.
    12. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    13. Clément Bosquet & Paul Maarek & Elliot Moiteaux, 2021. "Routine-biased technological change and wages by education level: Occupational downgrading and displacement effects," Working Papers hal-03270715, HAL.
    14. Holger M. Mueller & Paige P. Ouimet & Elena Simintzi, 2015. "Wage Inequality and Firm Growth," LIS Working papers 632, LIS Cross-National Data Center in Luxembourg.
    15. Maarek, Paul & Moiteaux, Elliot, 2021. "Polarization, employment and the minimum wage: Evidence from European local labor markets," Labour Economics, Elsevier, vol. 73(C).
    16. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    17. Cortes, Guido Matias & Salvatori, Andrea, 2019. "Delving into the demand side: Changes in workplace specialization and job polarization," Labour Economics, Elsevier, vol. 57(C), pages 164-176.
    18. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    19. Harrigan, James & Reshef, Ariell & Toubal, Farid, 2021. "The March of the Techies: Job Polarization Within and Between Firms," Research Policy, Elsevier, vol. 50(7).
    20. Domini, Giacomo & Grazzi, Marco & Moschella, Daniele & Treibich, Tania, 2021. "Threats and opportunities in the digital era: Automation spikes and employment dynamics," Research Policy, Elsevier, vol. 50(7).

    More about this item

    JEL classification:

    • 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
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dls:wpaper:0307. 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: Ana Pacheco (email available below). General contact details of provider: https://edirc.repec.org/data/funlpar.html .

    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.