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Is Inflation Persistence Over?

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  • Fernando N. de Oliveira
  • Myrian Petrassi

Abstract

We analyze inflation persistence in several industrial and emerging countries in the recent past by estimating reduced-form models of inflation dynamics. We select a very representative group of 23 industrial and 17 emerging economies. Our sample period is comprised of quarterly data and starts in the first quarter of 1995. Our results show that inflation persistence is low and stable for all countries in our sample. It seems to be lower in industrial relative to emerging countries. Finally, even countries that have had “hyperinflation” experience in the recent past showed low levels of inflation persistence, albeit apparently higher than the other countries in our sample.

Suggested Citation

  • Fernando N. de Oliveira & Myrian Petrassi, 2010. "Is Inflation Persistence Over?," Working Papers Series 230, Central Bank of Brazil, Research Department.
  • Handle: RePEc:bcb:wpaper:230
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    File URL: http://www.bcb.gov.br/pec/wps/ingl/wps230.pdf
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    References listed on IDEAS

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    1. Benati, Luca, 2008. "Investigating inflation persistence across monetary regimes," Working Paper Series 851, European Central Bank.
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    7. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    8. Gerard O'Reilly & Karl Whelan, 2005. "Has Euro-Area Inflation Persistence Changed Over Time?," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 709-720, November.
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    13. Frederic S. Mishkin, 2007. "Inflation Dynamics," International Finance, Wiley Blackwell, vol. 10(3), pages 317-334, December.
    14. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
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    Cited by:

    1. Francis Leni Anguyo & Rangan Gupta & Kevin Kotze, 2017. "Inflation Dynamics in Uganda: A Quantile Regression Approach," School of Economics Macroeconomic Discussion Paper Series 2017-07, School of Economics, University of Cape Town.
    2. Tabak, Benjamin M. & Takami, Marcelo & Rocha, Jadson M.C. & Cajueiro, Daniel O. & Souza, Sergio R.S., 2014. "Directed clustering coefficient as a measure of systemic risk in complex banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 211-216.
    3. Michelle Chan & Silvia Matos, 2011. "Changes In Brazilian Inflationpersistence," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 040, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. repec:fgv:epgrbe:v:68:n:2:a:4 is not listed on IDEAS
    5. Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & Francisco Marcos Rodrigues Figueiredo, 2015. "Local Unit Root and Inflationary Inertia in Brazil," Working Papers Series 406, Central Bank of Brazil, Research Department.
    6. Machado, Vicente da Gama & Portugal, Marcelo Savino, 2014. "Measuring inflation persistence in Brazil using a multivariate model," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 68(2), June.

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