G-7 inflation forecasts: Random walk, Phillips curve or what else?

被引:46
作者
Canova, Fabio [1 ]
机构
[1] UPF, Dept Econ, ICREA, Barcelona 08005, Spain
关键词
G-7; countries; inflation; panel VAR models; Markov chain Monte Carlo methods;
D O I
10.1017/S1365100506050334
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:1 / 30
页数:30
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