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State-level wage Phillips curves

Author

Listed:
  • George Kapetanios
  • Simon Price
  • Menelaos Tasiou
  • Alexia Ventouri

Abstract

Two reduced-form versions of New Keynesian wage Phillips curves based on either sticky nominal wages or real-wage rigidity using monthly US state-level data for the period 1982-2016 are examined, taking account of the endogeneity of unemployment by instrumentation and the use of common correlated effects (CCE) and mean group (MG) methods. This is the first time that this methodology has been applied in this context. These are important issues, as ignoring them may lead to substantial biases. The results show that while the aggregate data do not provide estimates that are consistent with either of the theoretical models examined, the panel methods do. Moreover, use of an appropriate MG CCE estimator leads to economically significant changes in parameters (primarily a steeper Phillips curve) relative to those from inappropriate but widely used panel methods, and in the real-wage rigidity case is required to deliver results that have a theoretically admissible interpretation.

Suggested Citation

  • George Kapetanios & Simon Price & Menelaos Tasiou & Alexia Ventouri, 2020. "State-level wage Phillips curves," CAMA Working Papers 2020-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2020-08
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    as
    1. Jean Imbs & Haroon Mumtaz & Morten O. Ravn & Hélène Rey, 2005. "PPP Strikes Back: Aggregation And the Real Exchange Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 1-43.
    2. Evans, George, 1985. "Bottlenecks and the Phillips Curve: A Disaggregated Keynesian Model of Inflation, Output, and Unemployment," Economic Journal, Royal Economic Society, vol. 95(378), pages 345-357, June.
    3. Layard, Richard & Nickell, Stephen & Jackman, Richard, 2005. "Unemployment: Macroeconomic Performance and the Labour Market," OUP Catalogue, Oxford University Press, number 9780199279173.
    4. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Kapetanios, G. & Pesaran, M. Hashem & Yamagata, T., 2011. "Panels with non-stationary multifactor error structures," Journal of Econometrics, Elsevier, vol. 160(2), pages 326-348, February.
    7. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, August.
    8. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    9. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    10. FAME,Eric Jondeau, University of Lausanne-HEC & Jean Imbs & Eric Jondeau & Florian Pelgrin, 2006. "Aggregating Phillips Curves," Computing in Economics and Finance 2006 314, Society for Computational Economics.
    11. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    12. Harding, Matthew & Lamarche, Carlos, 2011. "Least squares estimation of a panel data model with multifactor error structure and endogenous covariates," Economics Letters, Elsevier, vol. 111(3), pages 197-199, June.
    13. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    14. A. W. Phillips, 1958. "The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861–1957," Economica, London School of Economics and Political Science, vol. 25(100), pages 283-299, November.
    15. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    16. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    17. Robertson, D & Symons, J, 1992. "Some Strange Properties of Panel Data Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 175-189, April-Jun.
    18. repec:mcb:jmoncb:v:45:y:2013:i::p:913-932 is not listed on IDEAS
    19. Christopher L. Smith, 2014. "The Effect of Labor Slack on Wages : Evidence from State-Level Relationships," FEDS Notes 2014-06-02-2, Board of Governors of the Federal Reserve System (U.S.).
    20. Luengo-Prado, María José & Rao, Nikhil & Sheremirov, Viacheslav, 2018. "Sectoral inflation and the Phillips curve: What has changed since the Great Recession?," Economics Letters, Elsevier, vol. 172(C), pages 63-68.
    21. Bent Hansen, 1970. "Excess Demand, Unemployment, Vacancies, and Wages," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(1), pages 1-23.
    22. Kumar, Anil & M. Orrenius, Pia, 2016. "A closer look at the Phillips curve using state-level data," Journal of Macroeconomics, Elsevier, vol. 47(PA), pages 84-102.
    23. 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.
    24. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    25. Daniel Aaronson & Daniel G. Sullivan, 2000. "Recent evidence on the relationship between unemployment and wage growth," Working Paper Series WP-00-27, Federal Reserve Bank of Chicago.
    26. Sylvain Leduc & Daniel J. Wilson, 2017. "Has the Wage Phillips Curve Gone Dormant?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    28. Gerdie Everaert & Lorenzo Pozzi, 2014. "The Predictability Of Aggregate Consumption Growth In Oecd Countries: A Panel Data Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 431-453, April.
    29. Richard Jackman, 1998. "European Unemployment: Why is it so High and What Should be Done About it?," RBA Annual Conference Volume (Discontinued), in: Guy Debelle & Jeff Borland (ed.),Unemployment and the Australian Labour Market, Reserve Bank of Australia.
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    More about this item

    Keywords

    Wage Phillips curves; state-level data; panel estimation; CCE;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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