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Do Phillips Curves Conditionally Help to Forecast Inflation?

Summary:
AbstractThis paper reexamines the forecasting ability of Phillips curves from both an uncon- ditional 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. Federal Reserve Bank of PhiladelphiaDo Phillips Curves Conditionally Help to Forecast Inflation? Michael Dotsey, Shigeru Fujita, and Tom Stark

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Abstract

This paper reexamines the forecasting ability of Phillips curves from both an uncon- ditional 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.
Federal Reserve Bank of Philadelphia
Do Phillips Curves Conditionally Help to Forecast Inflation?
Michael Dotsey, Shigeru Fujita, and Tom Stark
Mike Norman
Mike Norman is an economist and veteran trader whose career has spanned over 30 years on Wall Street. He is a former member and trader on the CME, NYMEX, COMEX and NYFE and he managed money for one of the largest hedge funds and ran a prop trading desk for Credit Suisse.

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