Forecasting inflation with the New Keynesian Phillips curve : Frequency matters
Martins, Manuel M. F.; Verona, Fabio (21.04.2020)
JulkaisusarjaBank of Finland Research Discussion Papers
JulkaisijaBank of Finland
Julkaisun pysyvä osoite onhttps://urn.fi/URN:NBN:fi:bof-202004212075
We show that the New Keynesian Phillips Curve (NKPC) outperforms standard benchmarks 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.