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A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips Curve
Author(s) -
Chan Joshua C. C.,
Koop Gary,
Potter Simon M.
Publication year - 2015
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.2442
Subject(s) - nairu , phillips curve , econometrics , inflation (cosmology) , economics , bivariate analysis , unemployment , random walk , bounded function , bounding overwatch , keynesian economics , mathematics , statistics , macroeconomics , computer science , physics , theoretical physics , artificial intelligence , mathematical analysis
Summary In this paper, we develop a bivariate unobserved components model for inflation and unemployment. The unobserved components are trend inflation and the non‐accelerating inflation rate of unemployment (NAIRU). Our model also incorporates a time‐varying Phillips curve and time‐varying inflation persistence. What sets this paper apart from the existing literature is that we do not use unbounded random walks for the unobserved components, but rather bounded random walks. For instance, NAIRU is assumed to evolve within bounds. Our empirical work shows the importance of bounding. We find that our bounded bivariate model forecasts better than many alternatives, including a version of our model with unbounded unobserved components. Our model also yields sensible estimates of trend inflation, NAIRU, inflation persistence and the slope of the Phillips curve. Copyright © 2015 John Wiley & Sons, Ltd.