Skip to main navigation Skip to search Skip to main content

A bounded model of time variation in trend inflation, NAIRU and the Phillips curve

  • Joshua C. C. Chan
  • , Gary Koop
  • , Simon M. Potter

Research output: Contribution to journalArticlepeer-review

46 Downloads (Pure)

Abstract

In this paper, we develop a bivariate unobserved components model for in‡ation and unemployment. The unobserved components
are trend in‡ation and the non-accelerating in‡ation rate of unemployment (NAIRU). Our model also incorporates a time-varying Phillips curve and time-varying in‡ation 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 use bounded random walks. For instance, NAIRU is assumed to evolve within bounds. Our empirical work shows the importance of bounding. We …nd 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 in‡ation, NAIRU, in‡ation persistence and the slope of the Phillips curve.
Original languageEnglish
Pages (from-to)551-565
Number of pages5
JournalJournal of Applied Econometrics
Volume31
Issue number3
Early online date15 Jan 2015
DOIs
Publication statusPublished - 1 Apr 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • trend in‡ation
  • non-linear state space model
  • natural rate of unemployment
  • in‡ation targeting
  • Bayesian

Fingerprint

Dive into the research topics of 'A bounded model of time variation in trend inflation, NAIRU and the Phillips curve'. Together they form a unique fingerprint.

Cite this