IDEAS home Printed from https://ideas.repec.org/p/hhs/iuiwop/1451.html
   My bibliography  Save this paper

Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility

Author

Listed:

Abstract

This paper examines whether advancements in automation and robotics have affected intergenerational income mobility. Using detailed data on all individuals and firms in Sweden from 1985 to 2017, we analyze how parental exposure to robots at the occupational level and the heterogeneous adoption of robots across industries influence children’s outcomes in adulthood. Our results show that parents’ occupational exposure to robots is associated with lower income mobility for their children. Taking into account exposure at the occupational and industry levels, we find that the negative impact on intergenerational mobility originates from industries with a relatively large increase in robot adoption. Our results also indicate that children with exposed parents are worse off with regard to several labor market and family-related outcomes, including higher risks of unemployment and being out of the labor force. Overall, our paper reveals a new determinant that shapes intergenerational mobility and highlights that advancements in automation and robotics can have long-lasting effects on society.

Suggested Citation

  • Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and Robots on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 29 Jun 2023.
  • Handle: RePEc:hhs:iuiwop:1451
    as

    Download full text from publisher

    File URL: https://www.ifn.se/wfiles/wp/wp1451.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Björklund, Anders & Roine, Jesper & Waldenström, Daniel, 2012. "Intergenerational top income mobility in Sweden: Capitalist dynasties in the land of equal opportunity?," Journal of Public Economics, Elsevier, vol. 96(5), pages 474-484.
    2. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility I: Childhood Exposure Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1107-1162.
    3. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    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. Juan C. Palomino & Gustavo A. Marrero & Juan G. Rodríguez, 2018. "One size doesn’t fit all: a quantile analysis of intergenerational income mobility in the U.S. (1980–2010)," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(3), pages 347-367, September.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    7. repec:hal:spmain:info:hdl:2441/170cd4sul89ddpnfuomvfm0jc0 is not listed on IDEAS
    8. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum & Nicole Woessner, 2021. "The Adjustment of Labor Markets to Robots [“Skills, Tasks and Technologies: Implications for Employment and Earnings]," Journal of the European Economic Association, European Economic Association, vol. 19(6), pages 3104-3153.
    9. Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Working Papers 93, The Research Institute of the Finnish Economy.
    10. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    11. Philip Oreopoulos & Marianne Page & Ann Huff Stevens, 2008. "The Intergenerational Effects of Worker Displacement," Journal of Labor Economics, University of Chicago Press, vol. 26(3), pages 455-483, July.
    12. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    13. 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.
    14. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    15. David H. Autor & David Dorn & Gordon H. Hanson, 2015. "Untangling Trade and Technology: Evidence from Local Labour Markets," Economic Journal, Royal Economic Society, vol. 0(584), pages 621-646, May.
    16. Adrian Adermon & Mikael Lindahl & Mårten Palme, 2021. "Dynastic Human Capital, Inequality, and Intergenerational Mobility," American Economic Review, American Economic Association, vol. 111(5), pages 1523-1548, May.
    17. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    18. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    19. 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.
    20. 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.
    21. Martin Nybom & Jan Stuhler, 2016. "Heterogeneous Income Profiles and Lifecycle Bias in Intergenerational Mobility Estimation," Journal of Human Resources, University of Wisconsin Press, vol. 51(1), pages 239-268.
    22. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," SciencePo Working papers Main hal-03403062, HAL.
    23. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    24. Seth G. Benzell & Laurence J. Kotlikoff & Guillermo LaGarda & Jeffrey D. Sachs, 2015. "Robots Are Us: Some Economics of Human Replacement," NBER Working Papers 20941, National Bureau of Economic Research, Inc.
    25. David H. Autor & David Dorn & Gordon H. Hanson & Jae Song, 2014. "Trade Adjustment: Worker-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1799-1860.
    26. Bjorklund, Anders & Chadwick, Laura, 2003. "Intergenerational income mobility in permanent and separated families," Economics Letters, Elsevier, vol. 80(2), pages 239-246, August.
    27. Marcus Eliason, 2012. "Lost jobs, broken marriages," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1365-1397, October.
    28. Mari Rege & Kjetil Telle & Mark Votruba, 2011. "Parental Job Loss and Children's School Performance," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1462-1489.
    29. Martin Nybom & Jan Stuhler, 2017. "Biases in Standard Measures of Intergenerational Income Dependence," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 800-825.
    30. Petter Lundborg & Martin Nordin & Dan Olof Rooth, 2018. "The intergenerational transmission of human capital: the role of skills and health," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(4), pages 1035-1065, October.
    31. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
    32. David Autor & David Dorn, 2009. "This Job Is "Getting Old": Measuring Changes in Job Opportunities Using Occupational Age Structure," American Economic Review, American Economic Association, vol. 99(2), pages 45-51, May.
    33. Anders Bohlmark & Matthew J. Lindquist, 2006. "Life-Cycle Variations in the Association between Current and Lifetime Income: Replication and Extension for Sweden," Journal of Labor Economics, University of Chicago Press, vol. 24(4), pages 879-900, October.
    34. Nybom, Martin & Stuhler, Jan, 2021. "Intergenerational mobility in a recession: Evidence from Sweden," Working Paper Series 2021:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    35. Stevens, Ann Huff & Schaller, Jessamyn, 2011. "Short-run effects of parental job loss on children's academic achievement," Economics of Education Review, Elsevier, vol. 30(2), pages 289-299, April.
    36. 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.
    37. Laura Pilossoph & Shu Lin Wee, 2021. "Household Search and the Marital Wage Premium," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 55-109, October.
    38. Ahsan, Reshad N. & Chatterjee, Arpita, 2017. "Trade liberalization and intergenerational occupational mobility in urban India," Journal of International Economics, Elsevier, vol. 109(C), pages 138-152.
    39. Daron Acemoglu & Jonas Loebbing, 2022. "Automation and Polarization," NBER Working Papers 30528, National Bureau of Economic Research, Inc.
    40. repec:hal:spmain:info:hdl:2441/3n1gbsj6rs80ipqv9d42nfd0ge is not listed on IDEAS
    41. Hirvonen, Johannes & Stenhammar, Aapo & Tuhkuri, Joonas, 2022. "Policy Brief: New Evidence on the Effect of Technology on Employment and Skill Demand," ETLA Brief 108, The Research Institute of the Finnish Economy.
    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. Fabien Petit & Florencia Jaccoud & Tommaso Ciarli, 2023. "Heterogeneous Adjustments of Labor Markets to Automation Technologies," CESifo Working Paper Series 10237, CESifo.
    2. David Autor & Caroline Chin & Anna M. Salomons & Bryan Seegmiller, 2022. "New Frontiers: The Origins and Content of New Work, 1940–2018," NBER Working Papers 30389, National Bureau of Economic Research, Inc.
    3. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    4. Fierro, Luca Eduardo & Caiani, Alessandro & Russo, Alberto, 2022. "Automation, Job Polarisation, and Structural Change," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 499-535.
    5. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2021. "Stop worrying and love the robot: An activity-based approach to assess the impact of robotization on employment dynamics," GLO Discussion Paper Series 802, Global Labor Organization (GLO).
    6. Deutscher, Nathan & Mazumder, Bhashkar, 2020. "Intergenerational mobility across Australia and the stability of regional estimates," Labour Economics, Elsevier, vol. 66(C).
    7. Robert Stehrer, 2022. "The Impact of ICT and Intangible Capital Accumulation on Labour Demand Growth and Functional Income Shares," wiiw Working Papers 218, The Vienna Institute for International Economic Studies, wiiw.
    8. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    9. Hennig, Jan-Luca, 2021. "Labor Market Polarization and Intergenerational Mobility: Theory and Evidence," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242353, Verein für Socialpolitik / German Economic Association.
    10. Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2021. "Automation, Work and Productivity: The Role of Firm Heterogeneity," Working Paper Series 1382, Research Institute of Industrial Economics, revised 09 Mar 2023.
    11. Chen, Wen-Hao & Ostrovsky, Yuri & Piraino, Patrizio, 2017. "Lifecycle variation, errors-in-variables bias and nonlinearities in intergenerational income transmission: new evidence from Canada," Labour Economics, Elsevier, vol. 44(C), pages 1-12.
    12. Nikolaos Terzidis & Raquel Ortega‐Argilés, 2021. "Employment polarization in regional labor markets: Evidence from the Netherlands," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 971-1001, November.
    13. Cortes, Guido Matias & Lerche, Adrian & Schönberg, Uta & Tschopp, Jeanne, 2023. "Technological Change, Firm Heterogeneity and Wage Inequality," IZA Discussion Papers 16070, Institute of Labor Economics (IZA).
    14. Dauth, Wolfgang & Findeisen, Sebastian & Südekum, Jens & Wößner, Nicole, 2017. "German robots - the impact of industrial robots on workers," IAB-Discussion Paper 201730, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    16. Davide Dottori, 2021. "Robots and employment: evidence from Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 739-795, July.
    17. Barbieri, Laura & Mussida, Chiara & Piva, Mariacristina & Vivarelli, Marco, 2019. "Testing the employment and skill impact of new technologies: A survey and some methodological issues," MERIT Working Papers 2019-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    18. Patrick Bennett & Aline Bütikofer & Kjell G. Salvanes & Darina Steskal, 2022. "Changes in Urban Wages, Jobs, and Workers from 1958-2017," CESifo Working Paper Series 9766, CESifo.
    19. repec:gdk:wpaper:66 is not listed on IDEAS
    20. Chen, Chinchih & Frey, Carl Benedikt & Presidente, Giorgio, 2022. "Automation or globalization? The impacts of robots and Chinese imports on jobs in the United Kingdom," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 528-542.
    21. Stefan Jestl, 2022. "Industrial Robots, and Information and Communication Technology: The Employment Effects in EU Labour Markets," wiiw Working Papers 215, The Vienna Institute for International Economic Studies, wiiw.

    More about this item

    Keywords

    Intergenerational Mobility; Automation; Robots; Matched Employer-Employee Data;
    All these keywords.

    JEL classification:

    • 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
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • 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:hhs:iuiwop:1451. 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: Elisabeth Gustafsson (email available below). General contact details of provider: https://edirc.repec.org/data/iuiiise.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.