Forecasting Inflation with the New Keynesian Phillips Curve: Frequency Matters

Abstract

We show that the New Keynesian Phillips Curve (NKPC) outperforms standard bench marks in forecasting U.S. inflation once frequency-domain information is taken into account. We do so by decomposing the time series (of inflation and its predictors) into several frequency bands and forecasting separately each frequency component of inflation. The largest statistically significant forecasting gains are achieved with a model that forecasts the lowest frequency component of inflation (corresponding to cycles longer than 16 years) flexibly using information from all frequency components of the NKPC inflation predictors. Its performance is particularly good in the returning to recovery from the Great Recession.

Keywords: inflation forecasting, new Keynesian Phillips curve, frequency domain, wavelets

JEL Classification: C53, E31, E37