Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil

• Autor(a) principal: Ferreira, Diego
• Data de Publicação: 2015
• Outros Autores: Palma, Andreza Aparecida
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Brasileira de Economia (Online)
• Texto Completo: https://periodicos.fgv.br/rbe/article/view/34068
• topic: Phillips Curve; Inflation; Forecast; Time-Varying Parameter

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.