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A Measure of Core Wage Inflation

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Abstract

We recover the persistent (“core”) component of nominal wage growth over the past twenty-five years in the United States. Our approach combines worker-level data with time-series smoothing methods and can disentangle the common persistence of wage inflation from the persistence specific to some subgroup of workers, such as workers in a specific industry. We find that most of the business cycle fluctuations in wage inflation are persistent and driven by a common factor. This common persistent factor is particularly important during inflationary periods, and it explains 80 to 90 percent of the post-pandemic surge in wage inflation. Contrary to standard measures of wage inflation, the persistent component of wage inflation contemporaneously co-moves with labor market tightness.

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  • Richard Audoly & Martín Almuzara & Davide Melcangi, 2023. "A Measure of Core Wage Inflation," Staff Reports 1067, Federal Reserve Bank of New York.
  • Handle: RePEc:fip:fednsr:96479
    Note: Revised January 2024.
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    References listed on IDEAS

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    1. James H. Stock & Mark W. Watson, 2008. "Phillips curve inflation forecasts," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    2. George A. Akerlof & Janet L. Yellen, 1990. "The Fair Wage-Effort Hypothesis and Unemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(2), pages 255-283.
    3. James H. Stock & Mark W. Watson, 2016. "Core Inflation and Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 770-784, October.
    4. Hie Joo Ahn & Han Chen & Michael Kister, 2020. "A New Indicator of Common Wage Inflation," FEDS Notes 2020-07-08, Board of Governors of the Federal Reserve System (U.S.).
    5. Ay?egül ?ahin & Joseph Song & Giorgio Topa & Giovanni L. Violante, 2014. "Mismatch Unemployment," American Economic Review, American Economic Association, vol. 104(11), pages 3529-3564, November.
    6. repec:dau:papers:123456789/11158 is not listed on IDEAS
    7. Sanvi Avouyi-Dovi & Denis Fougère & Erwan Gautier, 2013. "Wage Rigidity, Collective Bargaining, and the Minimum Wage: Evidence from French Agreement Data," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1337-1351, October.
    8. John Grigsby & Erik Hurst & Ahu Yildirmaz, 2021. "Aggregate Nominal Wage Adjustments: New Evidence from Administrative Payroll Data," American Economic Review, American Economic Association, vol. 111(2), pages 428-471, February.
    9. Marco Del Negro & Christopher Otrok, 2008. "Dynamic factor models with time-varying parameters: measuring changes in international business cycles," Staff Reports 326, Federal Reserve Bank of New York.
    10. Stiglitz, Joseph E, 1976. "The Efficiency Wage Hypothesis, Surplus Labour, and the Distribution of Income in L.D.C.s," Oxford Economic Papers, Oxford University Press, vol. 28(2), pages 185-207, July.
    11. Michael T. Kiley, 2023. "The Role of Wages in Trend Inflation: Back to the 1980s?," Finance and Economics Discussion Series 2023-022, Board of Governors of the Federal Reserve System (U.S.).
    12. Hervé Le Bihan & Jérémi Montornès & Thomas Heckel, 2012. "Sticky Wages: Evidence from Quarterly Microeconomic Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 1-32, July.
    13. David Autor & Arindrajit Dube & Annie McGrew, 2023. "The Unexpected Compression: Competition at Work in the Low Wage Labor Market," NBER Working Papers 31010, National Bureau of Economic Research, Inc.
    14. Mary C. Daly & Bart Hobijn & Theodore S. Wiles, 2011. "Aggregate Real Wages: Macro Fluctuations and Micro Drivers," Tinbergen Institute Discussion Papers 11-158/3, Tinbergen Institute.
    15. Barro, Robert J., 1977. "Long-term contracting, sticky prices, and monetary policy," Journal of Monetary Economics, Elsevier, vol. 3(3), pages 305-316, July.
    16. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
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    More about this item

    Keywords

    wage inflation; persistence; factor models;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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