While monetary targeting has become increasingly rare, many central banks attach weight to money growth in setting interest rates. This raises the issue of how money can be combined with other variables, in particular the output gap, when analysing inflation. The Swiss National Bank emphasises that the indicators it uses to do so vary across forecasting horizons. While real indicators are employed for short-run forecasts, money growth is more important at longer horizons. Using band spectral regressions and causality tests in the frequency domain, we show that this interpretation of the inflation process fits the data well.
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Paper provided by Swiss National Bank in its series Working Papers with number
2006-5.
Length: 35 pages Date of creation: 31 Mar 2006 Date of revision: Handle: RePEc:ris:snbwpa:2006_005
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Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data) E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Engle, Robert F, 1974.
"Band Spectrum Regression,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 1-11, February.
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