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https://doi.org/10.2139/ssrn.5...
Article . 2024 . Peer-reviewed
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https://doi.org/10.2139/ssrn.5...
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Article . 2024 . Peer-reviewed
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Research . 2024
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The Quantity Theory of Money, 1870-2020

Authors: Jung, Alexander;

The Quantity Theory of Money, 1870-2020

Abstract

This study re-assesses the validity of the quantity theory of money (QTM) for the very long sample, 1870 to 2020, for 18 industrial countries using the dataset from Jordà et al. (2017). It considers structural changes in the economic and financial sectors and changes in monetary policy frameworks. Three findings are presented. First, the results from panel cointegration tests show that the long-run relationship between excess money growth and inflation holds if longer runs of data are used. Second, panel regressions confirm the presence of long and variable lags in the monetary policy transmission, as predicted by Milton Friedman. For the full sample, the average speed of adjustment from excess money growth to inflation in industrial countries was about two years amid heterogeneity across time and countries. Third, the results show that over recent decades, structural change - coinciding with the Great Moderation and, in part, reflecting changes in payment technologies - has led to a collapse of QTM.

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Keywords

payment technologies, ddc:330, Excess money growth, N1, panel cointegration tests, E50, structural change, B16, E40, Great Moderation, B23

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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!
4
Top 10%
Average
Top 10%
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