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

Revista Brasileira de Economia

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Title Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil
 
Creator Ferreira, Diego; UFPR
Palma, Andreza Aparecida; UFSCar
 
Subject Phillips Curve; Inflation; Forecast; Time-Varying Parameter
 
Description 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.
 
Publisher Escola de Pós-Graduação em Economia da FGV
 
Contributor
 
Date 2015-12-02
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articles
Artigos
 
Format application/pdf
 
Identifier http://bibliotecadigital.fgv.br/ojs/index.php/rbe/article/view/34068
 
Source Revista Brasileira de Economia; v. 69, n. 4 (2015); 331-354
Revista Brasileira de Economia; v. 69, n. 4 (2015); 331-354
0034-7140
0034-7140
 
Language por
 
Relation http://bibliotecadigital.fgv.br/ojs/index.php/rbe/article/view/34068/56228
 
Rights Direitos autorais 2015 Revista Brasileira de Economia