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Federal Reserve Bank of Philadelphia
Working Papers
Do Phillips Curves Conditionally Help to Forecast Inflation?
Michael Dotsey
Shigeru Fujita
Tom Stark
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.


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Michael Dotsey & Shigeru Fujita & Tom Stark, Do Phillips Curves Conditionally Help to Forecast Inflation?, Federal Reserve Bank of Philadelphia, Working Papers 17-26, 21 Aug 2017.
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Keywords: Phillips curve; unemployment gap; conditional predictive ability
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