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A Curva de Phillips e a Experiência Brasileira

Author

Listed:
  • Adolfo Sachsida
  • Marcio Ribeiro
  • Claudio Hamilton dos Santos

Abstract

Este estudo estima uma curva de Phillips com mudança de regime para a economia brasileira no período 1995-2008. De maneira geral, são três os principais resultados encontrados: i) ao contrário do que ocorreu nos resultados anteriores, ao adotarem-se especificações não lineares para a curva de Phillips, o coeficiente da expectativa de inflação torna-se superior ao coeficiente da inflação passada. Isto sugere que artigos que estimam a curva de Phillips por modelos lineares podem estar subestimando o papel das expectativas na dinâmica inflacionária; ii) os testes sugerem fortemente a rejeição da hipótese de linearidade nos parâmetros da curva de Phillips, isto é, a estimação da curva de Phillips por métodos lineares seria viesada e ineficiente; e iii) os resultados econométricos mostram pouca robustez, e alta sensibilidade, dos parâmetros a diferenças nas especificações de não linearidade ou mudanças no conjunto de proxies adotadas. Isto parece indicar a inadequação da curva de Phillips para explicar a dinâmica inflacionária na economia brasileira.

Suggested Citation

  • 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.
  • Handle: RePEc:ipe:ipetds:1429
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    References listed on IDEAS

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    1. Angelo M. Fasolo & Marcelo Savino Portugal, 2003. "Imperfect Rationality and Inflationary Inertia: a New Estimation of the Phillips Curve for Brazil," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] b34, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
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    Cited by:

    1. Thiago Carlomagno Carlo & Emerson Fernandes Marçal, 2016. "Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon," Applied Economics, Taylor & Francis Journals, vol. 48(50), pages 4846-4860, October.
    2. 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.
    3. repec:fgv:epgrbe:v:67:n:4:a:8 is not listed on IDEAS
    4. Mário Jorge Mendonça & Adolfo Sachsida, 2012. "Inflação Versus Desemprego: Novas Evidências Para o Brasil," Discussion Papers 1763, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. 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.
    6. Eduardo P. S. Fiuza & Barbara Caballero, 2015. "Estimations od Generic Drug Entry in Brazil using count versus ordered models," Discussion Papers 0186, Instituto de Pesquisa Econômica Aplicada - IPEA.
    7. Moreira, Tito Belchior Silva & Souza, Geraldo Silva & Ellery, Roberto, 2013. "An Evaluation of the tolerant to higher inflation rate in the short run by the Brazilian Central Bank in the period 2001-2012," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    8. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.

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