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Examining the Role of Structural Change in a Phillips Curve: Bivariate GARCH DCC Analysis

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  • Kamel Helali
  • Thouraya Boujelbene Dammak

Abstract

The aim of this study is to empirically test the stability of the traditional Phillips curve using a bivariate GARCH-DCC model. We tried to establish the dynamic correlation between consumer price index inflation and unemployment rate by considering the autoregressive conditional heteroskedasticity (ARCH) effect. Eventually, we analysed the Tunisian data spanning over the first quarter of 1974 up to the first quarter of 2016. The results revealed that the correlation sign between CPI inflation and unemployment changed from negative to positive during recession periods. Our results suggest two main implications for policymakers. First, monetary policy may have more important and long-lasting effects on unemployment during a recession period compared to a boom one. Second, since keeping the unemployment rate at a reasonable level is a priority for the monetary authorities, the CPI inflation unemployment nexus has to be evaluated before implementing any policy, especially when the economy is strong.

Suggested Citation

  • Kamel Helali & Thouraya Boujelbene Dammak, 2019. "Examining the Role of Structural Change in a Phillips Curve: Bivariate GARCH DCC Analysis," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 385-393, September.
  • Handle: RePEc:nwe:eajour:y:2019:i:3:p:385-393
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    1. Emrah Ismail Cevik & Sel Dibooglu & Salih Barişik, 2013. "Asymmetry in the Unemployment–Output Relationship Over the Business Cycle: Evidence from Transition Economies," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(4), pages 557-581, December.
    2. Marika Karanassou & Hector Sala, 2012. "Productivity Growth And The Phillips Curve: A Reassessment Of The Us Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 64(3), pages 344-366, July.
    3. Jones, Paul M. & Olson, Eric, 2013. "The time-varying correlation between uncertainty, output, and inflation: Evidence from a DCC-GARCH model," Economics Letters, Elsevier, vol. 118(1), pages 33-37.
    4. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1295-1328.
    5. Fumitaka Furuoka, 2007. "Does the “Phillips Curve” Really Exist? New Empirical Evidence from Malaysia," Economics Bulletin, AccessEcon, vol. 5(16), pages 1-14.
    6. Apostolos Serletis, 2012. "Oil Price Uncertainty," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8407, February.
    7. Gali, Jordi & Gertler, Mark & David Lopez-Salido, J., 2005. "Robustness of the estimates of the hybrid New Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1107-1118, September.
    8. Karanassou, Marika & Sala, Hector, 2010. "The US inflation-unemployment trade-off revisited: New evidence for policy-making," Journal of Policy Modeling, Elsevier, vol. 32(6), pages 758-777, November.
    9. Rahman, Sajjadur & Serletis, Apostolos, 2012. "Oil price uncertainty and the Canadian economy: Evidence from a VARMA, GARCH-in-Mean, asymmetric BEKK model," Energy Economics, Elsevier, vol. 34(2), pages 603-610.
    10. James D. Hamilton, 2008. "Macroeconomics and ARCH," NBER Working Papers 14151, National Bureau of Economic Research, Inc.
    11. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    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. Perron, Pierre, 1997. "Further evidence on breaking trend functions in macroeconomic variables," Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
    16. Curto Millet, Fabien, 2007. "Inflation Expectations, the Phillips Curve and Monetary Policy," Kiel Working Papers 1339, Kiel Institute for the World Economy (IfW Kiel).
    17. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
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    More about this item

    Keywords

    Phillips curve; Structural breaks; GARCH-DCC model; Non-stationary data;
    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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