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The Role of Output Composition in the Stabilization of U.S. Output Growth

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  • Andrew Eggers
  • Yannis Ioannides

Abstract

US output growth became much more stable over the past half-century. This paper assesses the role of changes in the composition of output | the increasing importance of stable sectors and diminishing importance of volatile sectors | in this stabilization. Our decomposition of output growth volatility by one-digit industry indicates that a bit less than half of the drop in volatility between the pre- and post-1982 periods is accounted for by compositional shifts, most notably the decline of manufacturing.

Suggested Citation

  • Andrew Eggers & Yannis Ioannides, 2004. "The Role of Output Composition in the Stabilization of U.S. Output Growth," Discussion Papers Series, Department of Economics, Tufts University 0422, Department of Economics, Tufts University.
    • Handle: RePEc:tuf:tuftec:0422
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    References listed on IDEAS

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    1. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed and Why?," NBER Chapters, in: NBER Macroeconomics Annual 2002, Volume 17, pages 159-230, National Bureau of Economic Research, Inc.
    2. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
    3. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    4. Andrew J. Filardo, 1997. "Cyclical implications of the declining manufacturing employment share," Economic Review, Federal Reserve Bank of Kansas City, vol. 82(Q II), pages 63-87.
    5. Francis E. Warnock & Veronica C. Warnock, 2000. "The declining volatility of U.S. employment: was Arthur Burns right?," International Finance Discussion Papers 677, Board of Governors of the Federal Reserve System (U.S.).
    6. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
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    Cited by:

    1. Carlos R. Barrera Chaupis, 2018. "Inventory Adjustments to Demand Shocks under Flexible Specifications," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 149-201, january-j.
    2. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    3. Huang, Ho-Chuan (River) & Fang, WenShwo & Miller, Stephen M., 2014. "Does financial development volatility affect industrial growth volatility?," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 307-320.
    4. Kimura, Takeshi & Shiotani, Kyosuke, 2009. "Stabilized business cycles with increased output volatility at high frequencies," Journal of the Japanese and International Economies, Elsevier, vol. 23(1), pages 1-19, March.
    5. WenShwo Fang & Stephen M. Miller & ChunShen Lee, 2008. "Cross‐Country Evidence On Output Growth Volatility: Nonstationary Variance And Garch Models," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(4), pages 509-541, September.
    6. Wen‐Shwo Fang & Stephen M. Miller, 2008. "The Great Moderation and the Relationship between Output Growth and Its Volatility," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 819-838, January.
    7. Parijat Maitra, 2022. "Inventories and business Cycles: The story of the last three decades," Economics Bulletin, AccessEcon, vol. 42(2), pages 553-565.
    8. Anna Batyra, 2007. "Are turbulences of Sargent and Ljungqvist consistent with lower aggregate volatility?," 2007 Meeting Papers 413, Society for Economic Dynamics.
    9. Dongyeol Lee & Hyunjoon Lim, 2019. "Industrial structure and the probability of crisis: Stability is not resilience," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 212-226, January.
    10. Song, Malin & Ma, Xiaowei & Shang, Yuping & Zhao, Xin, 2020. "Influences of land resource assets on economic growth and fluctuation in China," Resources Policy, Elsevier, vol. 68(C).
    11. Dongchao Zhang & Fangyi Jiao & Xiyue Zheng & Jianing Pang, 2023. "Analysis of the Influence Mechanism of New Urbanization on High-Quality Economic Development in Northeast China," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    12. Hongsheng Fang & Xiangrong Jin, 2010. "Role Of Economic Structural Adjustment For Long‐Term Economic Stability In China: Estimation Based On Variance Decomposition," Pacific Economic Review, Wiley Blackwell, vol. 15(5), pages 637-652, December.
    13. Barrera, Carlos R., 2011. "Impacto amplificador del ajuste de inventarios ante choques de demanda según especificaciones flexibles," Working Papers 2011-009, Banco Central de Reserva del Perú.
    14. Yang, Xin & Wang, Xuya & Cao, Jie & Zhao, Lili & Huang, Chuangxia, 2024. "Cross-regional connectedness of financial market: Measurement and determinants," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    Economic °uctuations; macroeconomic stabilization; deindustrialization; manufacturing;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

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