IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2026-5.html

Technological Change, Labour Markets and Family Behaviours in Sweden

Author

Listed:
  • Anna Matysiak

    (Interdisciplinary Centre for Labour Market and Family Dynamics, Faculty of Economic Sciences, University of Warsaw)

  • Linus Andersson

    (Swedish Institute for Social Research, Stockholm University)

  • Wojciech Hardy

    (Interdisciplinary Centre for Labour Market and Family Dynamics, Faculty of Economic Sciences, University of Warsaw)

Abstract

This study examines whether long-term structural labour market change, driven by industrial robotization, has influenced family formation and union stability in Sweden. Linking Swedish population register data (1994–2017) with sector-level measures of robot penetration, we analyse transitions into first marriage, first, second, and third births, and divorce. We distinguish between current exposure to robotization among employed workers and residual exposure among individuals who exited employment in robotizing sectors. Event-history models are complemented by an instrumental-variable approach that exploits cross-national variation in robot adoption to strengthen causal interpretation. On average, we find only weak associations between robotization and family transitions. However, substantial heterogeneity emerges by educational attainment. Among low- and medium-educated women and men, higher exposure to automation is linked to lower birth risks, weaker marriage formation, and higher divorce risks. In contrast, highly educated individuals experience neutral or positive associations between automation and family formation, alongside greater union stability. We conclude that the aggregate contribution of structural labour market change caused by industrial automation to Sweden’s post-recession fertility decline appears limited, automation contributes to widening educational disparities in family trajectories and reinforces cumulative disadvantage across labour market and family domains.

Suggested Citation

  • Anna Matysiak & Linus Andersson & Wojciech Hardy, 2026. "Technological Change, Labour Markets and Family Behaviours in Sweden," Working Papers 2026-5, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2026-5
    as

    Download full text from publisher

    File URL: https://www.wne.uw.edu.pl/download_file/6998/0
    File Function: First version, 2026
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter McDonald, 2000. "Gender Equity in Theories of Fertility Transition," Population and Development Review, The Population Council, Inc., vol. 26(3), pages 427-439, September.
    2. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    3. Ariane Pailhé & Anne Solaz & Maria Stanfors, 2021. "The Great Convergence: Gender and Unpaid Work in Europe and the United States," Population and Development Review, The Population Council, Inc., vol. 47(1), pages 181-217, March.
    4. 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.
    5. Acemoglu, Daron & Koster, Hans & Ozgen, Ceren, 2023. "Robots and Workers: Evidence from the Netherlands," CEPR Discussion Papers 17993, C.E.P.R. Discussion Papers.
    6. repec:elg:eechap:21570_24 is not listed on IDEAS
    7. 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.
    8. Michael Otto & Martin Abraham, 2025. "Robotisation and Workforce Dynamics: Analysing Employment and Wage Effects within Manufacturing Establishments," Work, Employment & Society, British Sociological Association, vol. 39(6), pages 1486-1512, December.
    9. Anna Matysiak & Marta Styrc & Daniele Vignoli, 2014. "The educational gradient in marital disruption: A meta-analysis of European research findings," Population Studies, Taylor & Francis Journals, vol. 68(2), pages 197-215, July.
    10. Frances Goldscheider & Eva Bernhardt & Trude Lappegård, 2015. "The Gender Revolution: A Framework for Understanding Changing Family and Demographic Behavior," Population and Development Review, The Population Council, Inc., vol. 41(2), pages 207-239, June.
    11. Priya Ranjan, 1999. "Fertility Behaviour under Income Uncertainty," European Journal of Population, Springer;European Association for Population Studies, vol. 15(1), pages 25-43, March.
    12. 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.
    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. Caselli, Mauro & Fracasso, Andrea & Scicchitano, Sergio & Traverso, Silvio & Tundis, Enrico, 2025. "What workers and robots do: An activity-based analysis of the impact of robotization on changes in local employment," Research Policy, Elsevier, vol. 54(1).
    2. Zhou, Yuwen & Shi, Xin, 2025. "How does digital technology adoption affect corporate employment? Evidence from China," Economic Modelling, Elsevier, vol. 147(C).
    3. Anna Matysiak & Daniele Vignoli, 2024. "Family Life Courses, Uncertain Futures, and the Changing World of Work: State-of-the-Art and Prospects," European Journal of Population, Springer;European Association for Population Studies, vol. 40(1), pages 1-19, December.
    4. Heyman, Fredrik & Olsson, Martin, 2022. "Long-Run Effects of Technological Change: The Impact of Automation and on Intergenerational Mobility," Working Paper Series 1451, Research Institute of Industrial Economics, revised 12 Dec 2025.
    5. Martin Lábaj & Tomáš Oleš & Gabriel Procházka, 2025. "Impact of robots and artificial intelligence on labor and skill demand: evidence from the UK," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 953-1001, December.
    6. Cortes, Matias & Lerche, Adrian & Schönberg, Uta & Tschopp, Jeanne, 2023. "Technological Change, Firm Heterogeneity and Wage Inequality," IZA Discussion Papers 16070, IZA Network @ LISER.
    7. Florencia Jaccoud, 2025. "Robots & AI exposure and wage inequality: a within occupation approach," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 1035-1090, December.
    8. Deng, Liuchun & Müller, Steffen & Plümpe, Verena & Stegmaier, Jens, 2024. "Robots, occupations, and worker age: A production-unit analysis of employment," European Economic Review, Elsevier, vol. 170(C).
    9. Richiardi, Matteo & Westhoff, Leonie & Astarita, Caterina & Ernst, Ekkehard & Fenwick, Clare & Khabirpour, Neysan & Pelizzari, Lorenzo, 2024. "The impact of a decade of digital transformation on employment, wages, and inequality in the EU: a “conveyor belt†hypothesis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA5/24, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
    10. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    11. Femke Cnossen & Matloob Piracha & Guy Tchuente, 2025. "Learning the Right Skill: Vocational Curricula and Returns to Skills," Journal of Labor Economics, University of Chicago Press, vol. 43(3), pages 665-694.
    12. Jaccoud, Florencia, 2025. "Robots & AI Exposure and Wage Inequality," MERIT Working Papers 2025-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. repec:ces:ceswps:_10955 is not listed on IDEAS
    14. 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.
    15. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence," IZA Discussion Papers 16740, IZA Network @ LISER.
    16. Giorgio Cutuli & Alessio Tomelleri, 2023. "Returns to digital skills use, temporary employment, and trade unions in European labour markets," European Journal of Industrial Relations, , vol. 29(4), pages 393-413, December.
    17. Qingen Gai & Shiqi Guo & Lianyi Hu & Xi Zhu, 2025. "Robots, routine jobs, and rural migrant workers: evidence from China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(4), pages 1-30, December.
    18. Michael J. Böhm & Ben Etheridge & Aitor Irastorza-Fadrique, 2024. "The impact of labour demand shocks when occupational labour supplies are heterogeneous," IFS Working Papers W24/28, Institute for Fiscal Studies.
    19. Patrick Bennett & Julian Vedeler Johnsen, 2025. "Intersecting Shocks: The Combined Labor Market Impacts of Automation and Immigration," CESifo Working Paper Series 12217, CESifo.
    20. Camilla Lenzi & Elisa Panzera, 2025. "Income and wage inequalities from automation. A European perspective," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 45(3), pages 395-420, September.
    21. Bernardo Caldarola & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella, 2024. "Structural Change, Employment, and Inequality in Europe: an Economic Complexity Approach," Papers 2410.07906, arXiv.org.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • 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:war:wpaper:2026-5. 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: Jacek Rapacz (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.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.