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The effect of automation levels on US interstate migration

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  • Chigusa Okamoto

    (The University of Tokyo)

Abstract

This study investigates the extent to which job process automation, which has resulted in wage inequality and job polarization in the USA and has affected US interstate migration over the past two decades. The level of automation in each state is calculated using data on the degree of automation of each occupation. In particular, this study examines how the difference in the levels among states explains the movement of migrants. The results show that people move to states with more automation in skilled occupations and less automation in unskilled occupations. This finding implies that automation has a complementary (substitution) effect on skilled (unskilled) occupations. The results also show that the former effect is larger and more robust than the latter one. Further analyses use migration flow data classified into several subgroups and find that both skilled and unskilled workers in most occupations move to states with more automation in skilled occupations and less automation in unskilled occupations.

Suggested Citation

  • Chigusa Okamoto, 2019. "The effect of automation levels on US interstate migration," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(3), pages 519-539, December.
  • Handle: RePEc:spr:anresc:v:63:y:2019:i:3:d:10.1007_s00168-019-00940-z
    DOI: 10.1007/s00168-019-00940-z
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    1. Plantinga, Andrew J. & Détang-Dessendre, Cécile & Hunt, Gary L. & Piguet, Virginie, 2013. "Housing prices and inter-urban migration," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 296-306.
    2. Gaspar, Jess & Glaeser, Edward L., 1998. "Information Technology and the Future of Cities," Journal of Urban Economics, Elsevier, vol. 43(1), pages 136-156, January.
    3. Modestino, Alicia Sasser & Dennett, Julia, 2013. "Are American homeowners locked into their houses? The impact of housing market conditions on state-to-state migration," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 322-337.
    4. 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.
    5. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    6. 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.
    7. Greenwood, Michael J. & Hunt, Gary L., 1989. "Jobs versus amenities in the analysis of metropolitan migration," Journal of Urban Economics, Elsevier, vol. 25(1), pages 1-16, January.
    8. Handel, Michael J., 2016. "The O-NET content model: strengths and limitations," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(2), pages 157-176.
    9. Berger, Thor & Frey, Carl Benedikt, 2016. "Did the Computer Revolution shift the fortunes of U.S. cities? Technology shocks and the geography of new jobs," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 38-45.
    10. 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.
    11. Pingle, Jonathan F., 2007. "A note on measuring internal migration in the United States," Economics Letters, Elsevier, vol. 94(1), pages 38-42, January.
    12. 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.
    13. Fu, Yuming & Gabriel, Stuart A., 2012. "Labor migration, human capital agglomeration and regional development in China," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 473-484.
    14. 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.
    15. Paul S. Davies & Michael J. Greenwood & Haizheng Li, 2001. "A Conditional Logit Approach to U.S. State‐to‐State Migration," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 337-360, May.
    16. Antonio Accetturo & Alberto Dalmazzo & Guido Blasio, 2014. "Skill Polarization In Local Labor Markets Under Share-Altering Technical Change," Journal of Regional Science, Wiley Blackwell, vol. 54(2), pages 249-272, March.
    17. 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.
    18. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    19. Handel, Michael J., 2016. "The O-NET content model: strengths and limitations," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(2), pages 157-176.
    20. Poncet, Sandra, 2006. "Provincial migration dynamics in China: Borders, costs and economic motivations," Regional Science and Urban Economics, Elsevier, vol. 36(3), pages 385-398, May.
    21. 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.
    22. Zabel, Jeffrey E., 2012. "Migration, housing market, and labor market responses to employment shocks," Journal of Urban Economics, Elsevier, vol. 72(2), pages 267-284.
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    1. Casas, Pablo & Román, Concepción, 2023. "Early retired or automatized? Evidence from the survey of health, ageing and retirement in Europe," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).

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    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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