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Artificial intelligence and intergenerational occupational mobility

Author

Listed:
  • Wang, Linhui
  • Zhao, He
  • Cao, Zhanglu
  • Dong, Zhiqing

Abstract

Artificial intelligence (AI) has a huge impact on economic development, while the literature focuses on the effect of AI on employment, and little is known about the impact of AI on intergenerational occupational mobility. Using a large, representative survey of individual-level data from the CGSS database, this paper presents novel evidence on the effect of AI on intergenerational occupational mobility. The results indicate that AI significantly increases intergenerational occupational mobility and induces more upward mobility, which stems from AI-induced demand for more high-skilled labors and changes in occupational task attributes. Furthermore, the effect of AI is heterogeneous for different groups in cognitive ability, family economic conditions, paternal educational attainment, and paternal occupational type.

Suggested Citation

  • Wang, Linhui & Zhao, He & Cao, Zhanglu & Dong, Zhiqing, 2024. "Artificial intelligence and intergenerational occupational mobility," Journal of Asian Economics, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:asieco:v:90:y:2024:i:c:s1049007823000957
    DOI: 10.1016/j.asieco.2023.101675
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    References listed on IDEAS

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    1. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    2. 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.
    3. Galor, Oded & Tsiddon, Daniel, 1997. "Technological Progress, Mobility, and Economic Growth," American Economic Review, American Economic Association, vol. 87(3), pages 363-382, June.
    4. 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.
    5. Philippe Aghion & Ufuk Akcigit & Antonin Bergeaud & Richard Blundell & David Hemous, 2019. "Innovation and Top Income Inequality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 1-45.
    6. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    7. Eric A. Hanushek & Charles Ka Yui Leung & Kuzey Yilmaz, 2014. "Borrowing Constraints, College Aid, and Intergenerational Mobility," Journal of Human Capital, University of Chicago Press, vol. 8(1), pages 1-41.
    8. 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.
    9. Carlino, Gerald A. & Chatterjee, Satyajit & Hunt, Robert M., 2007. "Urban density and the rate of invention," Journal of Urban Economics, Elsevier, vol. 61(3), pages 389-419, May.
    10. Benjamin David, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Post-Print hal-01549790, HAL.
    11. 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.
    12. 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.
    13. Jeffrey D. Sachs & Laurence J. Kotlikoff, 2012. "Smart Machines and Long-Term Misery," NBER Working Papers 18629, National Bureau of Economic Research, Inc.
    14. Trajtenberg, Manuel, 2018. "AI as the next GPT: a Political-Economy Perspective," CEPR Discussion Papers 12721, C.E.P.R. Discussion Papers.
    15. Jose V. Rodriguez Mora & John Hassler, 2000. "Intelligence, Social Mobility, and Growth," American Economic Review, American Economic Association, vol. 90(4), pages 888-908, September.
    16. James Bessen, 2019. "Automation and jobs: when technology boosts employment," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 589-626.
    17. Reddy, A. Bheemeshwar, 2015. "Changes in Intergenerational Occupational Mobility in India: Evidence from National Sample Surveys, 1983–2012," World Development, Elsevier, vol. 76(C), pages 329-343.
    18. David, Benjamin, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Journal of the Japanese and International Economies, Elsevier, vol. 43(C), pages 77-87.
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