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Asymmetric Phase Shifts in U.S. Industrial Production Cycles

Author

Listed:
  • Yongsung Chang

    (University of Rochester and Yonsei University)

  • Sunoong Hwang

    (Korea Institute for Industrial Economics and Trade (KIET))

Abstract

We identify cyclical turning points for 74 U.S. manufacturing industries and uncover new empirical regularities: (a) industries tend to comove between expansion and contraction phases over the business cycle; (b) clusters of industry turning points are highly asymmetric between peaks and troughs: troughs are much more concentrated and sharper than peaks; (c) the temporal pattern of phase shifts across industries supports the spillovers through input-output linkages; and (d) macroeconomic shocks, such as unanticipated changes in monetary policy, government spending, oil prices, and financial conditions, are significant drivers of industrial phase shifts. © 2015 The President and Fellows of Harvard College and the Massachusetts Institute of Technology

Suggested Citation

  • Yongsung Chang & Sunoong Hwang, 2015. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
    • Handle: RePEc:tpr:restat:v:97:y:2015:i:1:p:116-133
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    Cited by:

    1. Sumru Altug & Fabio Canova, 2014. "Do Institutions and Culture Matter for Business Cycles?," Open Economies Review, Springer, vol. 25(1), pages 93-122, February.
    2. Ritabrata Bose & Ashima Goyal, 2020. "Disaggregated Indian industrial cycles: A Spectral analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-033, Indira Gandhi Institute of Development Research, Mumbai, India.
    3. Donayre Luiggi & Eo Yunjong & Morley James, 2018. "Improving likelihood-ratio-based confidence intervals for threshold parameters in finite samples," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(1), pages 1-11, February.
    4. Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
    5. Dongya Koh & Raül Santaeulàlia-Llopis, 2017. "Countercyclical Elasticity of Substitution," Working Papers 946, Barcelona School of Economics.
    6. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    7. Hyun, Junghwan, 2018. "The dynamics of credit reallocation: South Korea's post-crisis experience," Japan and the World Economy, Elsevier, vol. 48(C), pages 57-70.
    8. Palenzuela, Diego Rodriguez & Saiz, Lorena & Stoevsky, Grigor & Tóth, Máté & Warmedinger, Thomas & Grigoraș, Veaceslav, 2024. "The euro area business cycle and its drivers," Occasional Paper Series 354, European Central Bank.
    9. Steven Cassou & Jesús Vázquez, 2014. "Employment comovements at the sectoral level over the business cycle," Empirical Economics, Springer, vol. 46(4), pages 1301-1323, June.

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    Keywords

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    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • B00 - Schools of Economic Thought and Methodology - - General - - - History of Economic Thought, Methodology, and Heterodox Approaches
    • L00 - Industrial Organization - - General - - - General

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