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Population Aging and Inventive Activity

Author

Listed:
  • Andreas Irmen

    (CREA, Université du Luxembourg)

  • Anastasia Litina

    (CREA, Université du Luxembourg)

Abstract

This research empirically establishes and theoretically motivates the hypothesis that population aging has a hump-shaped effect on inventive activity. We estimate this hump-shaped relationship in a panel of 33 OECD countries over the period 1960-2012. The increasing part of the hump captures the awareness that population aging requires inventive activity to guarantee current and future standards of living. The decreasing part reflects the tendency of aging societies to lose dynamism and the willingness to take risks. Policy-wise our analysis suggests that raising the awareness of individuals about the consequences of population aging may facilitate the adoption of strategies and policies encouraging inventive activity and economic growth.

Suggested Citation

  • Andreas Irmen & Anastasia Litina, 2016. "Population Aging and Inventive Activity," DEM Discussion Paper Series 16-03, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:16-03
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    References listed on IDEAS

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    1. 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.
    2. Gehringer, Agnieszka & Prettner, Klaus, 2019. "Longevity And Technological Change," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1471-1503, June.
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    6. James M. Poterba, 2014. "Retirement Security in an Aging Population," American Economic Review, American Economic Association, vol. 104(5), pages 1-30, May.
    7. James Feyrer, 2007. "Demographics and Productivity," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 100-109, February.
    8. Benjamin F. Jones, 2010. "Age and Great Invention," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 1-14, February.
    9. Bloom, David E. & Sousa-Poza, Alfonso, 2013. "Ageing and Productivity: Introduction," IZA Discussion Papers 7205, Institute of Labor Economics (IZA).
    10. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    11. Andreas Irmen, 2017. "Capital‐ And Labor‐Saving Technical Change In An Aging Economy," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(1), pages 261-285, February.
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    Citations

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    Cited by:

    1. 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.
    2. Ben J. Heijdra & Klaus Prettner, 2020. "Putting People Back into the Picture: Some Studies in Demographic Economics," De Economist, Springer, vol. 168(2), pages 147-152, June.
    3. Kufenko, Vadim & Prettner, Klaus, 2016. "You can't always get what you want? Estimator choice and the speed of convergence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 20-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    4. Belyakov, A.O. & Kurbatskiy, A.N. & Prettner, K., 2021. "The growth effects of anticipated versus unanticipated population aging," Journal of Mathematical Economics, Elsevier, vol. 94(C).
    5. Balazs Zelity, 2020. "Age Diversity and Aggregate Productivity," Wesleyan Economics Working Papers 2020-004, Wesleyan University, Department of Economics.
    6. Thomas Ziesemer & Anne von Gässler, 2021. "Ageing, human capital and demographic dividends with endogenous growth, labour supply and foreign capital," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 20(2), pages 129-160, May.
    7. Kufenko, Vadmin & Prettner, Klaus, 2017. "You can't always get what you want? A Monte Carlo analysis of the bias and the efficiency of dynamic panel data estimators," ECON WPS - Working Papers in Economic Theory and Policy 07/2017, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.

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    More about this item

    Keywords

    Population Aging; Inventive Activity; Panel Estimation;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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