Phillips Curve Inflation Forecasts

Author(s):  
James H. Stock ◽  
Mark W. Watson
2008 ◽  
Author(s):  
James Stock ◽  
Mark Watson

2019 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Antônio Clécio de Brito ◽  
Elano Ferreira Arruda ◽  
Ivan Castelar ◽  
Nicolino Trompieri Neto ◽  
Cristiano Santos

This work investigates the adequacy of core inflation measures as indicators of forward-looking expectations in the hybrid new Keynesian Phillips curve (HNKPC) for the Brazilian economy. For that purpose, we use monthly data between January 2002 and August 2015 and the heteroscedasticity and autocorrelation consistent generalized method of moments (HAC-GMM). The results indicate that the HNKPC is a robust mechanism to model Brazilian inflation dynamics in the period analyzed; that the recent increase in the degree of indexation of the Brazilian economy seems to have contributed to the formation of a stronger inertial component of inflation; and also that the core inflation measures appear to be potential indicators to model forward-looking expectations in the HNKPC in Brazil. Furthermore, the inflation forecasts extracted from these models are statistically similar to those generated by models that use market prognoses from the Focus survey published by the Central Bank of Brazil. Therefore, the core inflation measures appear to have adequately anchored the inflation expectations in Brazil in the period analyzed.


2007 ◽  
Vol 11 (1) ◽  
pp. 1-30 ◽  
Author(s):  
FABIO CANOVA

This paper compares the forecasting performance of some leading models of inflation for G-7 countries. We show that bivariate and trivariate models suggested by economic theory or statistical analysis are not much better than univariate ones. Phillips curve specifications fit well into this class. Improvements in both the MSE of the forecasts and turning point prediction are obtained with time-varying coefficients models, which exploit international interdependencies. The performance of the latter class of models is stable throughout the 1990s.


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