Measuring inflation persistence in Brazil using a multivariate model

Autores

  • Vicente da Gama Machado Banco Central do Brasil
  • Marcelo Savino Portugal Universidade Federal do Rio Grande do Sul (UFRGS)

Palavras-chave:

Inflation persistence, inflation expectations, Kalman filter, Bayesian analysis

Resumo

We estimate inflation persistence in Brazil in a multivariate framework of unobserved components, accounting for the following sources affecting inflation persistence: Deviations of expectations from the actual policy target; persistence of the factors driving inflation; and the usual intrinsic measure of persistence, evaluated through lagged inflation terms. Data on inflation, output and interest rates are decomposed into unobserved components. To simplify the estimation of a great number of unknown variables, we employ Bayesian analysis. Our results indicate that expectations-based persistence matters considerably for inflation persistence in Brazil.

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Publicado

2014-06-30

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