IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp13990.html
   My bibliography  Save this paper

Technology, Labour Market Institutions and Early Retirement: Evidence from Finland

Author

Listed:
  • Yashiro, Naomitsu

    (OECD)

  • Kyyrä, Tomi

    (VATT, Helsinki)

  • Hwang, Hyunjeong

    (OECD)

  • Tuomala, Juha

    (VATT, Helsinki)

Abstract

There are two major barriers to increasing employment of older workers. First, older workers engaged in codifiable, routine tasks are particularly prone to the risk of being displaced by computers and robots. Second, several countries have in place various labour market institutions that encourage early retirement, such as exceptional entitlements or looser criteria for unemployment and disability benefits applied to older individuals. We present evidence that these two factors reinforce each other to push older workers out of employment. We find that older workers who are more exposed to digital technologies are more likely to leave employment, and that this effect is significantly magnified when they are eligible to an extension of unemployment benefits until the earliest age for drawing old age pension. Furthermore, our findings imply that a policy reform that tightens the eligibility for the benefit extension would increase mostly the employment of older workers that are more exposed to digital technologies.

Suggested Citation

  • Yashiro, Naomitsu & Kyyrä, Tomi & Hwang, Hyunjeong & Tuomala, Juha, 2020. "Technology, Labour Market Institutions and Early Retirement: Evidence from Finland," IZA Discussion Papers 13990, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp13990
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp13990.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pierre-Jean Messe & Eva Moreno-Galbis & François-Charles Wolf, 2014. "Retirement intentions in the presence of technological change: Theory and evidence from France," TEPP Working Paper 2014-04, TEPP.
    2. Tuit, Sander & van Ours, Jan C., 2010. "How changes in unemployment benefit duration affect the inflow into unemployment," Economics Letters, Elsevier, vol. 109(2), pages 105-107, November.
    3. Luc Behaghel & Eve Caroli & Muriel Roger, 2014. "Age-biased Technical and Organizational Change, Training and Employment Prospects of Older Workers," Economica, London School of Economics and Political Science, vol. 81(322), pages 368-389, April.
    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. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    6. Pål Schøne, 2009. "New technologies, new work practices and the age structure of the workers," Journal of Population Economics, Springer;European Society for Population Economics, vol. 22(3), pages 803-826, July.
    7. 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.
    8. David H. Autor & Mark G. Duggan, 2003. "The Rise in the Disability Rolls and the Decline in Unemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 157-206.
    9. Baguelin, Olivier & Remillon, Delphine, 2014. "Unemployment insurance and management of the older workforce in a dual labor market: Evidence from France," Labour Economics, Elsevier, vol. 30(C), pages 245-264.
    10. repec:oec:stiaaa:2016/2-en is not listed on IDEAS
    11. Kyyrä, Tomi & Pesola, Hanna, 2020. "Long-term effects of extended unemployment benefits for older workers," Labour Economics, Elsevier, vol. 62(C).
    12. Beckmann, Michael & Schauenberg, Bernd, 2007. "Age-biased technological and organizational change: firm-level evidence and management implications," Working papers 2007/05, Faculty of Business and Economics - University of Basel.
    13. 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.
    14. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, May.
    15. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    16. 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.
    17. Lordan, Grace & Neumark, David, 2018. "People versus machines: The impact of minimum wages on automatable jobs," Labour Economics, Elsevier, vol. 52(C), pages 40-53.
    18. David H. Autor & Mark G. Duggan, 2006. "The Growth in the Social Security Disability Rolls: A Fiscal Crisis Unfolding," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 71-96, Summer.
    19. Leora Friedberg, 2003. "The Impact of Technological Change on Older Workers: Evidence from Data on Computer Use," ILR Review, Cornell University, ILR School, vol. 56(3), pages 511-529, April.
    20. Robert Grundke & Stéphanie Jamet & Margarita Kalamova & François Keslair & Mariagrazia Squicciarini, 2017. "Skills and global value chains: A characterisation," OECD Science, Technology and Industry Working Papers 2017/05, OECD Publishing.
    21. Luca Marcolin & Sébastien Miroudot & Mariagrazia Squicciarini, 2016. "The Routine Content Of Occupations: New Cross-Country Measures Based On PIAAC," OECD Trade Policy Papers 188, OECD Publishing.
    22. Avner Ahituv & Joseph Zeira, 2011. "Technical Progress and Early Retirement," Economic Journal, Royal Economic Society, vol. 121(551), pages 171-193, March.
    23. van Ours, J.C. & Tuit, S., 2010. "How Changes in Unemployment Benefit Duration Affect the Inflow Into Unemployment," Discussion Paper 2010-07, Tilburg University, Center for Economic Research.
    24. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    25. Tomi Kyyrä & Ralf A. Wilke, 2007. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland," Journal of the European Economic Association, MIT Press, vol. 5(1), pages 154-182, March.
    26. Jim Allen & Andries de Grip, 2012. "Does skill obsolescence increase the risk of employment loss?," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3237-3245, September.
    27. 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.
    28. Torbjørn Hægeland & Dag Rønningen & Kjell G. Salvanes, 2007. "Adapt or withdraw? Evidence on technological changes and early retirement using matched worker-firm data," Discussion Papers 509, Statistics Norway, Research Department.
    29. repec:dau:papers:123456789/7243 is not listed on IDEAS
    30. Bartel, Ann P & Sicherman, Nachum, 1993. "Technological Change and Retirement Decisions of Older Workers," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 162-183, January.
    31. Andy Dickerson & Francis Green, 2004. "The growth and valuation of computing and other generic skills," Oxford Economic Papers, Oxford University Press, vol. 56(3), pages 371-406, July.
    32. Ohto Kanninen & Terhi Ravaska & Jon Gruber & Satu Nivalainen & Roope Uusitalo, 2019. "The Effect of Relabeling and Incentives on Retirement: Evidence from the Finnish Pension Reform in 2005," Working Papers 328, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    33. Winter-Ebmer, Rudolf, 2003. "Benefit duration and unemployment entry: A quasi-experiment in Austria," European Economic Review, Elsevier, vol. 47(2), pages 259-273, April.
    34. Pajarinen, Mika & Rouvinen, Petri, 2014. "Computerization Threatens One Third of Finnish Employment," ETLA Brief 22, The Research Institute of the Finnish Economy.
    35. Tomi Kyyrä, 2015. "Early Retirement Policy in the Presence of Competing Exit Pathways: Evidence from Pension Reforms in Finland," Economica, London School of Economics and Political Science, vol. 82(325), pages 46-78, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haapanala, Henri & Marx, Ive & Parolin, Zachary, 2022. "Robots and Unions: The Moderating Effect of Organised Labour on Technological Unemployment," IZA Discussion Papers 15080, Institute of Labor Economics (IZA).
    2. Makarski, Krzysztof & Tyrowicz, Joanna, 2023. "Preference for redistribution during structural change with labor mobility frictions," European Journal of Political Economy, Elsevier, vol. 77(C).
    3. Henri Haapanala & Ive Marx & Zachary Parolin, 2023. "Robots and unions: The moderating effect of organized labour on technological unemployment," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(3), pages 827-852, August.

    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. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    2. Castro Silva, Hugo & Lima, Francisco, 2017. "Technology, employment and skills: A look into job duration," Research Policy, Elsevier, vol. 46(8), pages 1519-1530.
    3. Kyyrä, Tomi & Pesola, Hanna, 2020. "Long-term effects of extended unemployment benefits for older workers," Labour Economics, Elsevier, vol. 62(C).
    4. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    5. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    6. Jessen, Jonas & Jessen, Robin & Galecka-Burdziak, Ewa & Góra, Marek & Kluve, Jochen, 2023. "The Micro and Macro Effects of Changes in the Potential Benefit Duration," IZA Discussion Papers 15978, Institute of Labor Economics (IZA).
    7. Charles M. Beach, 2016. "Changing income inequality: A distributional paradigm for Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(4), pages 1229-1292, November.
    8. Boockmann, Bernhard & Fries, Jan & Göbel, Christian, 2018. "Specific measures for older employees and late career employment," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 159-174.
    9. Långstedt, Johnny & Spohr, Jonas & Hellström, Magnus, 2023. "Are our values becoming more fit for artificial intelligence society? A longitudinal study of occupational values and occupational susceptibility to technological substitution," Technology in Society, Elsevier, vol. 72(C).
    10. 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.
    11. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Gordo, Laura Romeu & Skirbekk, Vegard, 2013. "Skill demand and the comparative advantage of age: Jobs tasks and earnings from the 1980s to the 2000s in Germany," Labour Economics, Elsevier, vol. 22(C), pages 61-69.
    13. Bengtsson, Mats & König, Stefanie & Schönbeck, Simon & Wadensjö, Eskil, 2022. "Leaving the Labor Market Early in Sweden – Learning from International Experience," IZA Discussion Papers 15327, Institute of Labor Economics (IZA).
    14. Albanese, Andrea & Picchio, Matteo & Ghirelli, Corinna, 2020. "Timed to Say Goodbye: Does Unemployment Benefit Eligibility Affect Worker Layoffs?," Labour Economics, Elsevier, vol. 65(C).
    15. Kruse, Herman & Myhre, Andreas, 2021. "Early Retirement Provision for Elderly Displaced Workers," MPRA Paper 109431, University Library of Munich, Germany.
    16. Inés P. Murillo, 2011. "Human capital obsolescence: some evidence for Spain," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(4), pages 426-445, July.
    17. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," Working Paper Research 281, National Bank of Belgium.
    18. 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.
    19. Mañé Vernet, Ferran, 2010. "El retorno a las competencias para los titulados universitarios catalanes," Working Papers 2072/179591, Universitat Rovira i Virgili, Department of Economics.
    20. Guyonne Kalb & Jordy Meekes, 2021. "Wage Growth Distribution and Changes over Time: 2001–2018," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(1), pages 76-93, March.

    More about this item

    Keywords

    technological change; disability benefits; unemployment benefits; early retirement;
    All these keywords.

    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • 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:iza:izadps:dp13990. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.