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Aging, the Great Moderation and Business-Cycle Volatility in a Life-Cycle Model

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  • Rohrbacher, Stefan
  • Heer, Burkhard
  • Scharrer, Christian

Abstract

According to empirical studies, the life cycle of labor supply volatility exhibits a U-shaped pattern. This may lead to the conclusion that demographic change induces a drop in output volatility. We present an overlapping generations model that replicates the empirically observed pattern and study the impact of demographic transition on output volatility. We find that the change in age-composition itself has only a marginal influence on output volatility as the mitigating effect of lower labor supply volatility is compensated by higher labor supply. Instead, the driving force behind the Great Moderation in our model is the downward shift of the age-specific labor supply volatility curve.

Suggested Citation

  • Rohrbacher, Stefan & Heer, Burkhard & Scharrer, Christian, 2014. "Aging, the Great Moderation and Business-Cycle Volatility in a Life-Cycle Model," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100564, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc14:100564
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    2. Marcin Bielecki & Karolina Goraus & Jan Hagemejer & Joanna Tyrowicz, 2014. "The Sooner The Better - The Welfare Effects of the Retirement Age Increase Under Various Pension Schemes," Working Papers 2014-12, Faculty of Economic Sciences, University of Warsaw.
    3. Flor Michael, 2014. "Post reunification economic fluctuations in Germany: a real business cycle interpretation," Review of Business and Economics Studies, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 4, pages 5-17.
    4. Jan Hagemejer & Marcin Bielecki & Karolina Goraus & Joanna Tyrowicz, 2014. "The Sooner The Better - The Welfare Effects of the Retirement Age Increase Under Various Pension Schemes," EcoMod2014 6868, EcoMod.
    5. Michael Flor, 2014. "Post Reunification Economic Fluctuations in Germany: A Real Business Cycle Interpretation," Working Papers 146, Bavarian Graduate Program in Economics (BGPE).
    6. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    7. Burkhard Heer & Alfred Maußner, 2024. "Dynamic General Equilibrium Modeling," Springer Texts in Business and Economics, Springer, edition 3, number 978-3-031-51681-8, April.
    8. Bielecki, Marcin & Goraus, Karolina & Hagemejer, Jan & Tyrowicz, Joanna, 2016. "Decreasing fertility vs increasing longevity: Raising the retirement age in the context of ageing processes," Economic Modelling, Elsevier, vol. 52(PA), pages 125-143.
    9. Giacomo Mangiante, 2022. "Demographic Trends and the Transmission of Monetary Policy," Cahiers de Recherches Economiques du Département d'économie 22.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    10. Dantas Guimarães, Silvana & Ferreira Tiryaki, Gisele, 2020. "The impact of population aging on business cycles volatility: International evidence," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).

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    More about this item

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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