September 2018 issue contents
Do Phillips Curves Conditionally Help to Forecast Inflation?

by Michael Dotsey, Shigeru Fujita and Tom Stark
Federal Reserve Bank of Philadelphia


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.

JEL Code: C53, E37.

Full article (PDF, 50 pages, 837 kb)