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Inflation dynamics analysis in selected MENA countries

Author

Listed:
  • Tarek Kacemi
  • Sallahuddin Hassan

    (Universiti Utara Malaysia.)

Abstract

The current paper analyses the new Keynesian Phillips curve (NKPC) in the context of selected MENA countries over the 1990-2016 period. This study has used Pooled Mean Group (PMG) and Fully Modified Ordinary Least Square (FMOLS) estimation methods for the empirical analysis. For the dynamic heterogeneous panels, PMG developed by Pesaran et al. (1999) is the most suitable technique. The outcomes by FMOLS asserted that inflation and unemployment are unrelated in the long run, corroborating the long run Philips Curve theory. While, the empirical outcomes obtained by PMG indicate negative linkage between unemployment and inflation in the long run. Nevertheless, the notion of the trade-off between the inflation and unemployment that expressed by a short-run Phillips curve is not observed in the selected MENA countries. The findings of this study corroborate the hybrid version of NKPC. Moreover, it establishes of the study suggest that the dynamic inflation can be used as a HNKPC model for understanding the inflation behavior in selected MENA countries.

Suggested Citation

  • Tarek Kacemi & Sallahuddin Hassan, 2018. "Inflation dynamics analysis in selected MENA countries," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 6(2), pages :160-168, June.
    • Handle: RePEc:ani:ipjhss:v:6:y:2018:i:2:p:160-168
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    References listed on IDEAS

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    1. Samir Ben Ali, 2013. "Estimating the New Keynesian Phillips Curve for Tunisia: Empirical Issues," Middle East Development Journal, Taylor & Francis Journals, vol. 5(3), pages 1350016-131, January.
    2. Somayeh Mardaneh, 2012. "How Do Oil Shocks A¤ect the Structural Stability of Hybrid New Keynesian Phillips Curve?," Discussion Papers in Economics 12/20, Division of Economics, School of Business, University of Leicester.
    3. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    4. Rudd, Jeremy & Whelan, Karl, 2005. "New tests of the new-Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1167-1181, September.
    5. Agénor, Pierre-Richard & Bayraktar, Nihal, 2010. "Contracting models of the Phillips curve empirical estimates for middle-income countries," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 555-570, June.
    6. Ramos-Francia, Manuel & Torres, Alberto, 2008. "Inflation dynamics in Mexico: A characterization using the New Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 19(3), pages 274-289, December.
    7. Filiz Yesilyurt & J. Elhorst, 2014. "A regional analysis of inflation dynamics in Turkey," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 1-17, January.
    8. Imen Kobbi & Foued-Badr Gabsi, 2017. "The Nonlinearity of the New Keynesian Phillips Curve: The Case of Tunisia," Economies, MDPI, vol. 5(3), pages 1-12, July.
    9. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
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