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Automation, Education, and Population: Dynamic Effects in an OLG Growth and Fertility Model

Author

Listed:
  • Catarina Peralta

    (Faculty of Economics, University of Porto)

  • Pedro Mazeda Gil

    (Faculty of Economics, University of Porto and CEF.UP)

Abstract

We address two main structural changes occurring in developed countries: the rise of automation and population ageing. We use an R&D-based growth model in an OLG framework with endogenous education and fertility, and automation in the production process. Our model is able to combine the growth of real wages over time and either a fall or an increase in birth rates, consistent with recent data regarding the birth rate by skill group. Moreover, our model allows for the study of the interplay between the effects of population ageing and those of automation. The results show a dynamics consistent with the US trends for the period covering 1970 to 2019.

Suggested Citation

  • Catarina Peralta & Pedro Mazeda Gil, 2021. "Automation, Education, and Population: Dynamic Effects in an OLG Growth and Fertility Model," CEF.UP Working Papers 2102, Universidade do Porto, Faculdade de Economia do Porto.
  • Handle: RePEc:por:cetedp:2102
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    References listed on IDEAS

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    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Holger Strulik & Klaus Prettner & Alexia Prskawetz, 2013. "The past and future of knowledge-based growth," Journal of Economic Growth, Springer, vol. 18(4), pages 411-437, December.
    3. Annarita Baldanzi & Klaus Prettner & Paul Tscheuschner, 2019. "Longevity-induced vertical innovation and the tradeoff between life and growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(4), pages 1293-1313, October.
    4. Abeliansky, Ana Lucia & Prettner, Klaus, 2017. "Automation and demographic change," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168215, Verein für Socialpolitik / German Economic Association.
    5. Sequeira, Tiago Neves & Gil, Pedro Mazeda & Afonso, Oscar, 2018. "Endogenous growth and entropy," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 100-120.
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    7. Guimarães, Luís & Mazeda Gil, Pedro, 2022. "Looking ahead at the effects of automation in an economy with matching frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    8. Prettner, Klaus, 2019. "A Note On The Implications Of Automation For Economic Growth And The Labor Share," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1294-1301, April.
    9. 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.
    10. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    11. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    12. Xiaomeng Zhang & Theodore Palivos & Xiangbo Liu, 2022. "Aging and automation in economies with search frictions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(2), pages 621-642, April.
    13. Abeliansky, Ana & Algur, Eda & Bloom, David E. & Prettner, Klaus, 2020. "The Future of Work: Challenges for Job Creation Due to Global Demographic Change and Automation," IZA Discussion Papers 12962, Institute of Labor Economics (IZA).
    14. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    15. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    16. Nerlich, Carolin & Schroth, Joachim, 2018. "The economic impact of population ageing and pension reforms," Economic Bulletin Articles, European Central Bank, vol. 2.
    17. Nicole Maestas & Kathleen J. Mullen & David Powell, 2023. "The Effect of Population Aging on Economic Growth, the Labor Force, and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 306-332, April.
    18. Baldanzi, Annarita & Bucci, Alberto & Prettner, Klaus, 2021. "Children’S Health, Human Capital Accumulation, And R&D-Based Economic Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 25(3), pages 651-668, April.
    19. Acemoglu, Daron & Autor, David, 2011. "Skills, Tasks and Technologies: Implications for Employment and Earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 12, pages 1043-1171, Elsevier.
    20. Prettner, Klaus & Strulik, Holger, 2020. "Innovation, automation, and inequality: Policy challenges in the race against the machine," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 249-265.
    21. Klaus Prettner, 2013. "Population aging and endogenous economic growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(2), pages 811-834, April.
    22. Sandra M. Leitner & Robert Stehrer, 2019. "The Automatisation Challenge Meets the Demographic Challenge: In Need of Higher Productivity Growth," wiiw Working Papers 171, The Vienna Institute for International Economic Studies, wiiw.
    23. Matteo Cervellati & Uwe Sunde, 2005. "Human Capital Formation, Life Expectancy, and the Process of Development," American Economic Review, American Economic Association, vol. 95(5), pages 1653-1672, December.
    24. Barro, Robert J & Becker, Gary S, 1989. "Fertility Choice in a Model of Economic Growth," Econometrica, Econometric Society, vol. 57(2), pages 481-501, March.
    25. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    26. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    27. David N. Weil & Oded Galor, 2000. "Population, Technology, and Growth: From Malthusian Stagnation to the Demographic Transition and Beyond," American Economic Review, American Economic Association, vol. 90(4), pages 806-828, September.
    28. Ana L. ABELIANSKY & Eda ALGUR & David E. BLOOM & Klaus PRETTNER, 2020. "The future of work: Meeting the global challenges of demographic change and automation," International Labour Review, International Labour Organization, vol. 159(3), pages 285-306, September.
    29. Nicole Maestas & Kathleen J. Mullen & David Powell, 2016. "The Effect of Population Aging on Economic Growth, the Labor Force and Productivity," NBER Working Papers 22452, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Ageing; Automation; Economic growth; Endogenous fertility;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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