Inflation Forecast Targeting: A VAR Approach

W. McMillin () and James S. Fackler ()

Departmental Working Papers from Department of Economics, Louisiana State University

Abstract: We show how to implement inflation forecast targeting using a VAR model and derive the implied inflation-output variability frontier. Our approach is based on dynamic, stochastic simulations of the average inflation rate over a two-year horizon using the moving average representation of the VAR model. Using real time data over two samples, we estimate the inflation-output variability frontier for the U.S. and show that it has shifted favorably over time. We consider the frequency and nature of the policy interventions required to achieve target inflation in both samples and compare these interventions over time.

Date: 2009-07
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Persistent link: https://EconPapers.repec.org/RePEc:lsu:lsuwpp:2009-07

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