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Working Paper SeriesWill US inflation awake from the dead? The role of slack and non-linearities in the Phillips curve The selection and refereeing process for this paper was carried out by the Chairs of the Task Force. Papers were selected based on their quality and on the relevance of the research subject to the aim of the Task Force. The authors of the selected papers were invited to revise their paper to take into consideration feedback received during the preparatory work and the referee's and Editors' comments.The paper is released to make the research of LIFT generally available, in preliminary form, to encourage comments and suggestions prior to final publication. The views expressed in the paper are the ones of the author(s) and do not necessarily reflect those of the ECB, the ESCB, or any of the ESCB National Central Banks. Our main findings suggest that a Phillips curve model augmented with supply shocks and inflation expectations, estimated between 1992Q1 and 2007Q4, can explain rather well the behaviour of inflation after the Great Recession, with little apparent evidence of a missing deflation puzzle. We find that the Phillips curve specification with slack measured by the LMTI is consistently among the best performing specifications, together with the headline, mediumterm and long-term unemployment gaps. More important than the choice of the slack measure, however, is the consideration of a time-variation in the Phillips curve slope. Regressions on a rolling window as well as time-varying estimates using the Kalman filter confirm that the slope does vary over time.
ECBIn an out-of-sample forecasting exercise, our models that take into account the time-varying nature of the slope coefficient exhibit the highest forecasting accuracy over 2008Q1 to 2015Q1.In addition, we find that the other (constant-slope) non-linear specifications explored in this paper do not seem to improve on the forecasting accuracy of the linear models.