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Dynamics of Factor Income Shares in the United States

Author

Listed:
  • Philip N. Jefferson

    (Swarthmore College)

  • Frederic L. Pryor

    (Swarthmore College)

Abstract

This essay examines the cyclical behavior and stability properties of four different measures of the labor share of income in the United States from 1948 through 2006. The evidence suggests that the share exhibits instability. This instability is sensitive to the measure of labor share deployed and whether that measure has been adjusted for the changing sectoral composition of production over time. We test a number of competing hypotheses about the determinants of the behavior of cyclical labor share, showing that its movements are traceable to just two indicators of the business cycle, namely lagged gross domestic product (GDP) and lagged multifactor productivity.

Suggested Citation

  • Philip N. Jefferson & Frederic L. Pryor, 2010. "Dynamics of Factor Income Shares in the United States," Journal of Income Distribution, Ad libros publications inc., vol. 19(1), pages 96-119, March.
  • Handle: RePEc:jid:journl:y:2010:v:19:i:1:p:96-119
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    File URL: http://pi.library.yorku.ca/ojs/index.php/jid/article/viewFile/15290/23750
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    Citations

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    Cited by:

    1. Jackson, William A., 2014. "The Factor-Shares Cycle and its Relation to the Business Cycle," EconStor Open Access Book Chapters, in: Business Cycles in Economics: Types, Challenges and Impacts on Monetary Policies, pages 11-26, ZBW - Leibniz Information Centre for Economics.

    More about this item

    Keywords

    Labor share; productivity; volatility; cyclical behavior; structural change;
    All these keywords.

    JEL classification:

    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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