Money Growth and Inflation: A Regime Switching Approach

53 Pages Posted: 10 Jun 2010

See all articles by Gianni Amisano

Gianni Amisano

Board of Governors of the Federal Reserve System; European Central Bank (ECB); University of Bologna - Rimini Center for Economic Analysis (RCEA); University of Brescia - Department of Economics

Gabriel Fagan

European Central Bank (ECB)

Date Written: May 14, 2010

Abstract

We develop a time-varying transition probabilities Markov Switching model in which inflation is characterised by two regimes (high and low inflation). Using Bayesian techniques, we apply the model to the euro area, Germany, the US, the UK and Canada for data from the 1960s up to the present. Our estimates suggest that a smoothed measure of broad money growth, corrected for real-time estimates of trend velocity and potential output growth, has important leading indicator properties for switches between inflation regimes. Thus money growth provides an important early warning indicator for risks to price stability.

Keywords: Money Growth, Inflation Regimes, Early Warning, Time Varying Transition Probabilities, Markov Switching Model, Bayesian Inference

JEL Classification: C11, C53, E31

Suggested Citation

Amisano, Gianni and Fagan, Gabriel, Money Growth and Inflation: A Regime Switching Approach (May 14, 2010). ECB Working Paper No. 1207, Available at SSRN: https://ssrn.com/abstract=1616644 or http://dx.doi.org/10.2139/ssrn.1616644

Gianni Amisano (Contact Author)

Board of Governors of the Federal Reserve System

20th Street and Constitution Avenue NW
Washington, DC 20551
United States

European Central Bank (ECB) ( email )

Sonnemannstrasse 22
Frankfurt am Main, 60314
Germany

University of Bologna - Rimini Center for Economic Analysis (RCEA) ( email )

Via Patara, 3
Rimini (RN), RN 47900
Italy

University of Brescia - Department of Economics ( email )

Via San Faustino 74B
Brescia, 25122
Italy

Gabriel Fagan

European Central Bank (ECB) ( email )

Sonnemannstrasse 22
Frankfurt am Main, 60314
Germany
0049 69 13440 (Phone)
0044 69 1344 6000 (Fax)

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
207
Abstract Views
1,152
Rank
268,555
PlumX Metrics