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The macroeconomic performance of the inflation targeting policy: An approach based on the evolutionary co-spectral analysis (extension for the case of a multivariate process)

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  • Ftiti, Zied

Abstract

This paper proposes a new methodology to check the economic performance of a monetary policy and in particular the inflation targeting policy (ITP). The main idea of this work is to consider the ITP as economically efficient when it generates a stable monetary environment. The latter is considered as stable when a long-run equilibrium exists to which the paths of economic variables (inflation rate, interest rate and GDP growth) converge. The convergence of the variables' paths implies that these variables are more predictable and implies a less uncertainty in the economic environment. To measure the degree of convergence between economic variables, we propose, in this paper, a dynamic time-varying variable presented in the frequency approach named cohesion. This variable is estimated from the evolutionary co-spectral theory as defined by Priestley and Tong (1973) and Priestley (1969, 1981, [Priestley, 1988] and [Priestley, 1996]). We apply this theory to the measure of cohesion presented by Croux et al. (2001) to obtain a dynamic time-varying measure. In the last step of the study, we apply the Bai and Perron test (1998, 2003a,b) to determine the change in the cohesion path. The results show that the implementation of the ITP generates a high degree of convergence between economic series that implies less uncertainty into the monetary environment. We conclude that the inflation targeting generates a stable monetary environment. This result allows us to conclude that the ITP is relevant in the case of industrialized countries.

Suggested Citation

  • Ftiti, Zied, 2010. "The macroeconomic performance of the inflation targeting policy: An approach based on the evolutionary co-spectral analysis (extension for the case of a multivariate process)," Economic Modelling, Elsevier, vol. 27(1), pages 468-476, January.
  • Handle: RePEc:eee:ecmode:v:27:y:2010:i:1:p:468-476
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    6. Creti, Anna & Ftiti, Zied & Guesmi, Khaled, 2014. "Oil price and financial markets: Multivariate dynamic frequency analysis," Energy Policy, Elsevier, vol. 73(C), pages 245-258.
    7. Bouoiyour, jamal & Selmi, Refk, 2014. "Exchange Rate Impact on Russia’s Exports: Some Evidence from an Evolutionary Co-spectral Analysis," MPRA Paper 59368, University Library of Munich, Germany.
    8. Gabriel Caldas Montes & Júlio Cesar Albuquerque Bastos, 2013. "Economic policies, macroeconomic environment and entrepreneurs' expectations," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 40(3), pages 334-354, July.
    9. Anna Creti & Zied Ftiti & Khaled Guesmi, 2014. "Oil price impact on financial markets:," Working Papers 2014-435, Department of Research, Ipag Business School.
    10. Zied Ftiti & Aviral Tiwari & Ibrahim Fatnassi, 2014. "Oil price and macroeconomy in India – An evolutionary cospectral coherence approach," Working Papers 2014-68, Department of Research, Ipag Business School.
    11. Lukasz Lenart, 2015. "Discrete Spectral Analysis. The Case of Industrial Production in Selected European Countries," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 27-47.
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    20. Vácha, Lukáš & Šmolík, Filip & Baxa, Jaromír, 2019. "Comovement and disintegration of EU sovereign bond markets during the crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 541-556.

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