Do Phillips Curves Conditionally Help to Forecast Inflation?

B-Tier
Journal: International Journal of Central Banking
Year: 2018
Volume: 14
Issue: 4
Pages: 43-92

Authors (3)

Michael Dotsey (not in RePEc) Shigeru Fujita (Federal Reserve Bank of Philad...) Tom Stark (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper reexamines the forecasting ability of Phillips curves from both an unconditional and conditional perspective by applying the method developed by Giacomini and White (2006). We find that forecasts from our Phillips-curve models tend to be unconditionally inferior to those from our univariate forecasting models. Significantly, we also find conditional inferiority, with some exceptions. When we do find improvement, it is asymmetric-Phillips-curve forecasts tend to be more accurate when the economy is weak and less accurate when the economy is strong. Any improvement we find, however, vanished over the post-1984 period.

Technical Details

RePEc Handle
repec:ijc:ijcjou:y:2018:q:3:a:2
Journal Field
Macro
Author Count
3
Added to Database
2026-01-25