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Breaks in the Phillips Curve: Evidence from Panel Data

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Abstract

We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and European Union disaggregate data. Our approach allows us to accurately estimate both the number and timing of breaks in the Phillips curve. It further allows us to determine the existence of clusters of industries, cities, or countries whose Phillips curves display similar patterns of instability and to examine lead-lag patterns in how individual inflation series change. We find evidence of a marked flattening in the Phillips curves for US sectoral data and among EU countries, particularly poorer ones. Conversely, evidence of a flattening is weaker for MSA-level data and for the wage Phillips curve. US regional data and EU data point to a kink in the price Phillips curve which remains relatively steep when the economy is running hot.

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  • Jonathan H. Wright, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," Finance and Economics Discussion Series 2023-015, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2023-15
    DOI: 10.17016/FEDS.2023.015
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    1. Terry Fitzgerald & Callum Jones & Mariano Kulish & Juan Pablo Nicolini, 2024. "Is There a Stable Relationship between Unemployment and Future Inflation?," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 114-142, October.
    2. Laurence Ball & Sandeep Mazumder, 2019. "A Phillips Curve with Anchored Expectations and Short‐Term Unemployment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 111-137, February.
    3. Barnichon, Regis & Mesters, Geert, 2021. "The Phillips multiplier," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 689-705.
    4. Nathan R. Babb & Alan K. Detmeister, 2017. "Nonlinearities in the Phillips Curve for the United States : Evidence Using Metropolitan Data," Finance and Economics Discussion Series 2017-070, Board of Governors of the Federal Reserve System (U.S.).
    5. Sylvain Leduc & Chitra Marti & Daniel J. Wilson, 2019. "Does Ultra-Low Unemployment Spur Rapid Wage Growth?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    6. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 197-232, January.
    7. Laurence Ball & Sandeep Mazumder, 2011. "Inflation Dynamics and the Great Recession," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 337-405.
    8. Raphael A. Auer & Claudio Borio & Andrew Filardo, 2017. "The Globalisation of Inflation: The Growing Importance of Global Value Chains," CESifo Working Paper Series 6387, CESifo.
    9. Glenn D. Rudebusch, 2001. "Is The Fed Too Timid? Monetary Policy In An Uncertain World," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 203-217, May.
    10. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    11. Jordi Galí & Luca Gambetti, 2019. "Has the U.S. Wage Phillips Curve Flattened? A Semi-Structural Exploration," Working Papers Central Bank of Chile 846, Central Bank of Chile.
    12. Alexander Chudik & M. Hashem Pesaran, 2013. "Large Panel Data Models with Cross-Sectional Dependence: A Survey," CESifo Working Paper Series 4371, CESifo.
    13. Olivier Blanchard, 2016. "The Phillips Curve: Back to the '60s?," American Economic Review, American Economic Association, vol. 106(5), pages 31-34, May.
    14. Crump, Richard K. & Eusepi, Stefano & Giannoni, Marc & Şahin, Ayşegül, 2024. "The unemployment–inflation trade-off revisited: The Phillips curve in COVID times," Journal of Monetary Economics, Elsevier, vol. 145(S).
    15. Jonathon Hazell & Juan Herreño & Emi Nakamura & Jón Steinsson, 2022. "The Slope of the Phillips Curve: Evidence from U.S. States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1299-1344.
    16. Artūras Juodis & Simon Reese, 2022. "The Incidental Parameters Problem in Testing for Remaining Cross-Section Correlation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1191-1203, June.
    17. Hooper, Peter & Mishkin, Frederic S. & Sufi, Amir, 2020. "Prospects for inflation in a high pressure economy: Is the Phillips curve dead or is it just hibernating?," Research in Economics, Elsevier, vol. 74(1), pages 26-62.
    18. John M. Roberts, 2006. "Monetary Policy and Inflation Dynamics," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    19. Michael McLeay & Silvana Tenreyro, 2020. "Optimal Inflation and the Identification of the Phillips Curve," NBER Macroeconomics Annual, University of Chicago Press, vol. 34(1), pages 199-255.
    20. Robert E. Hall, 2023. "A Major Shock Makes Prices More Flexible and May Result in a Burst of Inflation or Deflation," NBER Working Papers 31025, National Bureau of Economic Research, Inc.
    21. Gary Koop & Simon M. Potter, 2007. "Estimation and Forecasting in Models with Multiple Breaks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 763-789.
    22. Matheson, Troy & Stavrev, Emil, 2013. "The Great Recession and the inflation puzzle," Economics Letters, Elsevier, vol. 120(3), pages 468-472.
    23. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-856, July.
    24. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
    25. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    26. Jushan Bai & Robin L. Lumsdaine & James H. Stock, 1998. "Testing For and Dating Common Breaks in Multivariate Time Series," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 395-432.
    27. Sylvain Leduc & Daniel J. Wilson, 2017. "Has the Wage Phillips Curve Gone Dormant?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
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    Cited by:

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    3. Benigno, Pierpaolo & Eggertsson, Gauti, 2023. "It's Baaack: The Surge in Inflation in the 2020s and the Return of the Non-Linear Phillips Curve," CEPR Discussion Papers 18116, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    Phillips curve; Inflation; Unemployment; Panel data; Structural breaks; Bayesian analysis;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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