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Short-Run Fluctuations in the Money Multiplier and Monetary Control

Authors: Frost, Peter A;

Short-Run Fluctuations in the Money Multiplier and Monetary Control

Abstract

An increasing number of monetary economists now describe the money supply process within the framework of the Brunner-Meltzer nonlinear hypothesis. For a detailed description of the hypothesis see [4, 5, 6]. Several aspects of this general approach to analyzing the behavior of the money stock are considered in this article. In section 1, the relative merits of different ways of decomposing the money supply into a monetary multiplier and a base are discussed. The difficult task of separating the effects of reserve requirement changes from the monetary multiplier is discussed in section 2. A problem with Brunner and Meltzer's reserve adjustment variable is pointed out and an alternative logarithmic reserve adjustment variable is suggested. These two reserve adjustment variables are then compared in section 3. In section 4, the behavior of the monetary multiplier during the period 1961-74 is examined and an explanation is presented for the marked increase in the variance of the monetary multiplier. The final section considers some simple forecasting models that utilize the basic framework of the Brunner-Meltzer nonlinear hypothesis. It is shown that, despite the large variance in the monetary multiplier, it is possible for the Federal Reserve to control the money supply quite accurately over periods of one or two quarters.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
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