Time-Varying Persistence in US Inflation

20 Pages Posted: 9 Oct 2014

See all articles by Massimiliano Caporin

Massimiliano Caporin

University of Padova - Department of Statistical Sciences

Rangan Gupta

University of Pretoria - Department of Economics

Date Written: October 9, 2014

Abstract

The persistence property of inflation is an important issue for not only economists, but, especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is the level of inflation persistence that is important in economic analyses, but also the question of whether the persistence varies over time, for instance, across business cycle phases, is equally pertinent, since assuming constant persistence across states of the economy, is sure to lead to misguided policy decisions. Against this backdrop, we extend the literature on long-memory models of inflation persistence for the US economy over the monthly period of 1876:2-2014:5, by developing an autoregressive fractionally integrated moving average-generalized autoregressive conditional heteroskedastic (ARFIMA-GARCH) model, with a time-varying memory coefficient which varies across expansions and recessions. In sum, we find that, inflation persistence does vary across recessions and expansions, with it being significantly higher in the former than in the latter. As an aside, we also show that, persistence of inflation volatility however, is higher during expansions than in recessions. Understandably, our results have important policy implications.

Keywords: Persistence, US Inflation Rate, Time-Varying Long Memory

JEL Classification: C12, C13, C22, C51, E31, E52

Suggested Citation

Caporin, Massimiliano and Gupta, Rangan, Time-Varying Persistence in US Inflation (October 9, 2014). Available at SSRN: https://ssrn.com/abstract=2507695 or http://dx.doi.org/10.2139/ssrn.2507695

Massimiliano Caporin (Contact Author)

University of Padova - Department of Statistical Sciences ( email )

Via Battisti, 241
Padova, 35121
Italy

Rangan Gupta

University of Pretoria - Department of Economics ( email )

Lynnwood Road
Hillcrest
Pretoria, 0002
South Africa

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