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Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits

Author

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  • Keqiang Hou

    (Shanghai University)

  • Alok Johri

    (McMaster University)

Abstract

Corporate profit is six times more volatile than output. We estimate a dynamic general equilibrium model with intangible capital (IC) using aggregate data on output, investment and hours and find that it generates profits that are over five times as volatile as output. A similar model without IC relies on preference shocks to generate profits that are 3.5 times as volatile as output. Variance decomposition analysis reveals that shocks to IC productivity account for 85 % of the variance of output, and over 50 % of hours and investment. The increased volatility of profits is associated with a time-varying wedge between wages and the marginal product of labor which is shown to be highly correlated with the data-based labor wedge. The estimation identifies the sixties and the nineties as periods of rapid IC accumulation. (Copyright: Elsevier)

Suggested Citation

  • Keqiang Hou & Alok Johri, 2018. "Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 216-234, July.
    • Handle: RePEc:red:issued:10-111
    DOI: 10.1016/j.red.2018.01.002
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    Cited by:

    1. Christoph Görtz & Christopher Gunn & Thomas Lubik, 2018. "Taking Stock of TFP News Shocks: The Inventory Comovement Puzzle," Carleton Economic Papers 18-05, Carleton University, Department of Economics, revised 14 Jul 2018.
    2. Shingo Ishiguro, 2022. "Management cycles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(1), pages 257-300, February.
    3. Alok Johri & Bidyut Talukdar, 2023. "Organizational capital and optimal Ramsey taxation," Indian Economic Review, Springer, vol. 58(1), pages 193-210, July.
    4. Li, Xing & Hou, Keqiang, 2019. "R&D based knowledge capital and future firm growth: Evidence from China’s Growth Enterprise Market firms," Economic Modelling, Elsevier, vol. 83(C), pages 287-298.
    5. Epstein, Brendan & Mukherjee, Rahul & Finkelstein Shapiro, Alan & Ramnath, Shanthi, 2020. "Trends in aggregate employment, hours worked per worker, and the long-run labor wedge," MPRA Paper 99289, University Library of Munich, Germany.
    6. Li, Xing & Hou, Keqiang & Zhang, Chao, 2020. "Intangible factor and idiosyncratic volatility puzzles," Finance Research Letters, Elsevier, vol. 34(C).

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    More about this item

    Keywords

    Business cycles; Aggregate profits; Bayesian estimation; Intangible capital; Labor wedge;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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