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Prospective Ageing and Economic Growth in Europe

Author

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  • Jesus Crespo Cuaresma

    (Department of Economics, Vienna University of Economics and Business)

  • Martin Lábaj

    (Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava)

  • Patrik Pruzinský

    (Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava)

Abstract

We assess empirically the role played by prospective ageing measures as a predictor of income growth in Europe. We show that prospective ageing measures which move beyond chronological age and incorporate changes in life expectancy are able to explain better the recent long-run growth experience of European economies. The improvement in explanatory power of prospective ageing indicators as compared to standard measures based on chronological age is particularly relevant for long-run economic growth horizons.

Suggested Citation

  • Jesus Crespo Cuaresma & Martin Lábaj & Patrik Pruzinský, 2014. "Prospective Ageing and Economic Growth in Europe," Department of Economics Working Papers wuwp165, Vienna University of Economics and Business, Department of Economics.
  • Handle: RePEc:wiw:wiwwuw:wuwp165
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    References listed on IDEAS

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    Cited by:

    1. von Gaessler, Anne Edle & Ziesemer, Thomas, 2016. "Optimal education in times of ageing: The dependency ratio in the Uzawa–Lucas growth model," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 125-142.
    2. Gehringer, Agnieszka & Prettner, Klaus, 2019. "Longevity And Technological Change," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1471-1503, June.
    3. Ilya Kashnitsky & Joop De Beer & Leo Van Wissen, 2020. "Economic Convergence In Ageing Europe," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(1), pages 28-44, February.
    4. 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).
    5. Kufenko, Vadim & Prettner, Klaus, 2021. "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Paper Series 316, WU Vienna University of Economics and Business.
    6. Aurora A. C. Teixeira & N. Renuga Nagarajan & Sandra T. Silva, 2017. "The Impact of Ageing and the Speed of Ageing on the Economic Growth of Least Developed, Emerging and Developed Countries, 1990–2013," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 909-934, August.
    7. 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.
    8. Kluge, Jan & Lappoehn, Sarah & Plank, Kerstin, 2020. "The Determinants of Economic Competitiveness," IHS Working Paper Series 24, Institute for Advanced Studies.
    9. 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

    Economic growth; ageing; prospective age; old age dependency ratio;
    All these keywords.

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

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