Canova, Fabio (2007). G-7 Inflation Forecasts: Random Walk, Phillips Curve or what else? Macroeconomic dynamics, 11(1), pp. 1-30. Cambridge: Cambridge University Press 10.1017/S136510050705033X
|
Text
g-7-inflation-forecasts-random-walk-phillips-curve-or-what-else.pdf - Published Version Available under License Publisher holds Copyright. Download (236kB) | Preview |
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.
Item Type: |
Journal Article (Original Article) |
---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Economics |
UniBE Contributor: |
Canova, Fabio |
ISSN: |
1365-1005 |
Publisher: |
Cambridge University Press |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 15:07 |
Last Modified: |
05 Dec 2022 14:20 |
Publisher DOI: |
10.1017/S136510050705033X |
Web of Science ID: |
000244099900001 |
BORIS DOI: |
10.48350/29505 |
URI: |
https://boris.unibe.ch/id/eprint/29505 (FactScience: 143329) |