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The impact of artificial intelligence in the early retirement decision

Author

Listed:
  • Pablo Casas

    (Universidad de Huelva
    Universidad Internacional de Andalucía
    Centro Científico Tecnológico Huelva)

  • Concepción Román

    (Universidad de Huelva
    Centro Científico Tecnológico Huelva)

Abstract

This paper examines the impact of Artificial Intelligence (AI) on early retirement (ER) decisions in Europe. For the analysis, we utilize microdata from the Survey of Health, Ageing and Retirement in Europe, along with occupation-level data on AI advances and AI exposure. Initially, we investigate the influence of AI advances and AI exposure separately, finding in both instances a significant reduction in ER likelihood, though this only applies to workers with higher education. Subsequently, we explore the interaction between AI advances and AI exposure concerning ER probability. This interaction proves critical in determining AI’s impact on ER transitions. Specifically, we observe a significant reduction in ER probabilities for workers whose occupations exhibit high levels of AI advances and high expectations for further implementation of this technology in the future. Finally, we jointly analyse the interaction between AI advances, AI exposure, and education level. This analysis highlights that workers’ ER probabilities may either increase or decrease in response to the AI revolution, depending on their education level and the characteristics of their occupations in terms of AI advances and AI exposure.

Suggested Citation

  • Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
    • Handle: RePEc:kap:empiri:v:51:y:2024:i:3:d:10.1007_s10663-024-09613-3
    DOI: 10.1007/s10663-024-09613-3
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    as
    1. Florent Bordot, 2022. "Artificial Intelligence, Robots and Unemployment: Evidence from OECD Countries," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 117-138.
    2. Hanno Lorenz & Fabian Stephany & Jan Kluge, 2023. "The future of employment revisited: how model selection affects digitization risks," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 323-350, May.
    3. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    4. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    5. Battisti, Michele & Gravina, Antonio Francesco, 2021. "Do robots complement or substitute for older workers?," Economics Letters, Elsevier, vol. 208(C).
    6. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum, 2017. "Trade and Manufacturing Jobs in Germany," American Economic Review, American Economic Association, vol. 107(5), pages 337-342, May.
    7. Hudomiet, Péter & Willis, Robert J., 2022. "Computerization, obsolescence and the length of working life," Labour Economics, Elsevier, vol. 77(C).
    8. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2023. "AI technologies and employment: micro evidence from the supply side," Applied Economics Letters, Taylor & Francis Journals, vol. 30(6), pages 816-821, March.
    9. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    10. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation [Automation and Demographic Change]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    11. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
    12. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    13. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    14. Helmut Hofer & Reinhard Koman, 2006. "Social security and retirement incentives in Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(5), pages 285-313, December.
    15. Roman Raab, 2011. "Financial incentives in the Austrian PAYG-pension system: micro-estimation," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 38(2), pages 231-257, May.
    16. 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.
    17. Andreas Eder, 2016. "The impact of inheritances on the retirement behavior of older Europeans," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 299-331, May.
    18. Daron Acemoglu & Pascual Restrepo, 2017. "Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation," American Economic Review, American Economic Association, vol. 107(5), pages 174-179, May.
    19. Sally Bould, 1980. "Unemployment as a Factor in Early Retirement Decisions," American Journal of Economics and Sociology, Wiley Blackwell, vol. 39(2), pages 123-136, April.
    20. Kerkhofs, Marcel & Lindeboom, Maarten & Theeuwes, Jules, 1999. "Retirement, financial incentives and health," Labour Economics, Elsevier, vol. 6(2), pages 203-227, June.
    21. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    22. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    23. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
    24. Gloria J. Bazzoli, 1985. "The Early Retirement Decision: New Empirical Evidence on the Influence of Health," Journal of Human Resources, University of Wisconsin Press, vol. 20(2), pages 214-234.
    25. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    26. Venti, Steven & Wise, David A., 2015. "The long reach of education: Early retirement," The Journal of the Economics of Ageing, Elsevier, vol. 6(C), pages 133-148.
    27. Avner Ahituv & Joseph Zeira, 2011. "Technical Progress and Early Retirement," Economic Journal, Royal Economic Society, vol. 121(551), pages 171-193, March.
    28. Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    29. Katrin Schleife, 2006. "Computer Use and Employment Status of Older Workers — An Analysis Based on Individual Data," LABOUR, CEIS, vol. 20(2), pages 325-348, June.
    30. Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.
    31. Edward W. Felten & Manav Raj & Robert Seamans, 2018. "A Method to Link Advances in Artificial Intelligence to Occupational Abilities," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 54-57, May.
    32. Rajshree Agarwal & Michael Gort, 2002. "Firm and Product Life Cycles and Firm Survival," American Economic Review, American Economic Association, vol. 92(2), pages 184-190, May.
    33. Federico Biagi & Danilo Cavapozzi & Raffaele Miniaci, 2013. "Employment transitions and computer use of older workers," Applied Economics, Taylor & Francis Journals, vol. 45(6), pages 687-696, February.
    34. Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
    35. 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.
    36. Joseph F. Quinn, 1977. "Microeconomic Determinants of Early Retirement: A Cross-Sectional View of White Married Men," Journal of Human Resources, University of Wisconsin Press, vol. 12(3), pages 329-346.
    37. Lene Pettersen, 2019. "Why Artificial Intelligence Will Not Outsmart Complex Knowledge Work," Work, Employment & Society, British Sociological Association, vol. 33(6), pages 1058-1067, December.
    38. Manav Raj & Robert Seamans, 2019. "Primer on artificial intelligence and robotics," Journal of Organization Design, Springer;Organizational Design Community, vol. 8(1), pages 1-14, December.
    39. Joseph Sharit & Sara J. Czaja & Mario Hernandez & Yulong Yang & Dolores Perdomo & John E. Lewis & Chin Chin Lee & Sankaran Nair, 2004. "An Evaluation of Performance by Older Persons on a Simulated Telecommuting Task," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 59(6), pages 305-316.
    40. 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).
    41. Allen, Steven G., 2023. "Demand for older workers: What do we know? What do we need to learn?," The Journal of the Economics of Ageing, Elsevier, vol. 24(C).
    42. Jones, Andrew M. & Rice, Nigel & Roberts, Jennifer, 2010. "Sick of work or too sick to work? Evidence on self-reported health shocks and early retirement from the BHPS," Economic Modelling, Elsevier, vol. 27(4), pages 866-880, July.
    43. David H. Autor & Lawrence F. Katz & Alan B. Krueger, 1998. "Computing Inequality: Have Computers Changed the Labor Market?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1169-1213.
    44. Ron Adner & Phanish Puranam & Feng Zhu, 2019. "What Is Different About Digital Strategy? From Quantitative to Qualitative Change," Strategy Science, INFORMS, vol. 4(4), pages 253-261, December.
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    More about this item

    Keywords

    Older workers; Ageing; Digitalization; Technological change;
    All these keywords.

    JEL classification:

    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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