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Imperfect Rationality and Inflationary Inertia: A New Estimation of the Phillips Curve for Brazil

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  • Marcelo Savino Portugal
  • Angelo Marsiglia Fasolo

Abstract

This paper presents some new estimates for the relationship between inflation and unemployment in Brazil based on a new Keynesian hypothesis about the behavior of the economy. Four main hypotheses are tested and sustained throughout the study: i) agents do not have perfect rationality; ii) the imperfection in the agents expectations generating process may be an important factor in explaining the high persistence (inertia) of Brazilian inflation; iii) inflation does have an autonomous inertial component, without linkage to shocks in individual markets; iv) a non-linear relationship between inflation and unemployment is able to provide better explanations for the inflation-unemployment relationship in the Brazilian economy in the last 12 years. While the first two hypotheses are tested using a Markov Switching based model of regime changes, the remaining two are tested in a context of a convex Phillips Curve estimated using the Kalman filter. Despite the methodological and estimation improvements provided in the paper, the impulse-response functions for the monetary policy presented the same properties shown in the literature that uses Brazilian data

Suggested Citation

  • Marcelo Savino Portugal & Angelo Marsiglia Fasolo, 2004. "Imperfect Rationality and Inflationary Inertia: A New Estimation of the Phillips Curve for Brazil," Econometric Society 2004 Latin American Meetings 5, Econometric Society.
    • Handle: RePEc:ecm:latm04:5
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    Cited by:

    1. Kushal Banik Chowdhury & Nityananda Sarkar, 2017. "Is the Hybrid New Keynesian Phillips Curve Stable? Evidence from Some Emerging Economies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 427-449, September.
    2. Sachsida, Adolfo, 2013. "Inflação, Desemprego e Choques Cambiais: Uma Revisão da Literatura sobre a Curva de Phillips no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    3. Adolfo Sachsida & Marcio Ribeiro & Claudio Hamilton dos Santos, 2009. "A Curva de Phillips e a Experiência Brasileira," Discussion Papers 1429, Instituto de Pesquisa Econômica Aplicada - IPEA.
    4. Alexis Maka & Fernando De Holanda Barbosa, 2014. "Phillips Curves: An Encompassing Test," Anais do XLI Encontro Nacional de Economia [Proceedings of the 41st Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    5. Vicente da Gama Machado & Marcelo Savino Portugal, 2014. "Phillips curve in Brazil: an unobserved components approach," Working Papers Series 354, Central Bank of Brazil, Research Department.
    6. repec:fgv:epgrbe:v:67:n:4:a:8 is not listed on IDEAS
    7. Fabrizio Almeida Marodin & Marcelo Savino Portugal, 2019. "Exchange Rate Pass-Through in Brazil: À Markov Switching DSGE Estimation for the Inflation Targeting Period," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 36-66, March.
    8. Leandro Nascimento Brito & Elcyon Caiado Rocha Lima, 2008. "Inflação e Nível de Atividade no Brasil: Estimativas via Curva de Phillips," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211039560, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Mário Jorge Mendonça & Adolfo Sachsida, 2012. "Inflação Versus Desemprego: Novas Evidências Para o Brasil," Discussion Papers 1763, Instituto de Pesquisa Econômica Aplicada - IPEA.

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    Keywords

    Phillips Curve; Expectations; Inflation; NAIRU-gap; Markov Switching Models; Kalman Filter; SUR;
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