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The age distribution and business cycle volatility: International evidence

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  • Lugauer, Steven
  • Redmond, Michael

Abstract

We estimate the age distribution’s effect on business cycle fluctuations across a large number of countries. A 10 percentage point increase in the middle-aged share of the population decreases output volatility by 15 percent for the average country.

Suggested Citation

  • Lugauer, Steven & Redmond, Michael, 2012. "The age distribution and business cycle volatility: International evidence," Economics Letters, Elsevier, vol. 117(3), pages 694-696.
    • Handle: RePEc:eee:ecolet:v:117:y:2012:i:3:p:694-696
    DOI: 10.1016/j.econlet.2011.12.085
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    References listed on IDEAS

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    1. Ramey, Garey & Ramey, Valerie A, 1995. "Cross-Country Evidence on the Link between Volatility and Growth," American Economic Review, American Economic Association, vol. 85(5), pages 1138-1151, December.
    2. Nir Jaimovich & Henry E. Siu, 2009. "The Young, the Old, and the Restless: Demographics and Business Cycle Volatility," American Economic Review, American Economic Association, vol. 99(3), pages 804-826, June.
    3. Kim B. Clark & Lawrence H. Summers, 1981. "Demographic Differences in Cyclical Employment Variation," Journal of Human Resources, University of Wisconsin Press, vol. 16(1), pages 61-79.
    4. Chadwick C. Curtis & Steven Lugauer & Nelson C. Mark, 2015. "Demographic Patterns and Household Saving in China," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(2), pages 58-94, April.
    5. Robert Shimer, 2001. "The Impact of Young Workers on the Aggregate Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 969-1007.
    6. James Feyrer, 2007. "Demographics and Productivity," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 100-109, February.
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    Citations

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    Cited by:

    1. Martin Iseringhausen & Hauke Vierke, 2019. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 849-867, August.
    2. Mario Holzner & Stefan Jestl & David Pichler, 2022. "Public and private pension systems and macroeconomic volatility in OECD countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(2), pages 131-168, May.
    3. Gerdie Everaert & Hauke Vierke, 2016. "Demographics and Business Cycle Volatility: A Spurious Relationship?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1467-1477, November.
    4. Mennuni, Alessandro, 2013. "Labor Force Composition and Aggregate Fluctuations," Discussion Paper Series In Economics And Econometrics 1302, Economics Division, School of Social Sciences, University of Southampton.
    5. Heer, Burkhard & Rohrbacher, Stefan & Scharrer, Christian, 2017. "Aging, The Great Moderation, And Business-Cycle Volatility In A Life-Cycle Model," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 362-383, March.
    6. Mennuni, Alessandro, 2019. "The aggregate implications of changes in the labour force composition," European Economic Review, Elsevier, vol. 116(C), pages 83-106.
    7. Steven Lugauer, 2012. "The Supply of Skills in the Labor Force and Aggregate Output Volatility," Working Papers 005, University of Notre Dame, Department of Economics, revised Jun 2012.

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    More about this item

    Keywords

    Business cycles; Demographics; Panel data;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General

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    1. The age distribution and business cycle volatility: International evidence (EL 2012) in ReplicationWiki

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