Forecasting Inflation with the Phillips CurveA Dynamic Model Averaging Approach for Brazil

Resumo

This paper proposes a generalized Phillips curve in order to forecast Brazilian inflation over the 2003:M1–2013:M10 period. To this end, we employ the Dynamic Model Averaging (DMA) method, which allows for both model evolution and time-varying parameters. The procedure mainly consists in state-space representation and by Kalman filter estimation. Overall, the dynamic specifications deliver good inflation predictions for all the forecast horizons considered, underscoring the importance of time-varying features for forecasting exercises. As to the usefulness of the predictors on explaining the Brazilian inflation, there are evidences that the short- and long-term Phillips curve relationship may be rejected for Brazil while short- and medium-term exchange rate pass-through apparently has been decreasing in the last years.

Ficha do documento

Tipo

Artigo científico

Ano

2015

Instituição

EGV EPGE

Fonte

Revista Brasileira de Economia

Idioma

Português

Acesso

Não informado

Identificador

oai:ojs.periodicos.fgv.br:article/34068

Palavras-chave

Phillips CurveInflationForecastTime-Varying Parameter