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WHEN DOES MONETARY MEASUREMENT MATTER (MOST)?

Published online by Cambridge University Press:  29 November 2018

Makram El-Shagi
Makram El-Shagi*
Affiliation:
Henan University and Halle Institute for Economic Research
*
Address correspondence to: Makram El-Shagi, Center for Financial Development and Stability, School of Economics, Henan University, MingLun Campus, 475000 Kaifeng, Henan, China; e-mail: makram.elshagi@gmail.com
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Abstract

It has repeatedly been shown that properly constructed monetary aggregates based on index number theory (such as Divisia money) vastly outperform traditional measures of money (i.e. simple sum money) in empirical models. However, opponents of Divisia frequently claim that Divisia is “too complex” for little gain. And indeed, at first glance it looks as if simple sum and Divisia sum exhibit similar dynamics. In this paper, we want to build deeper understanding of how and when Divisia and simple sum differ empirically using monthly US data from 1990M1 to 2007M12. In particular, we look at how they respond differently to monetary policy shocks, which seems to be the most essential aspect of those differences from the perspective of the policy maker. We use a very rich, fairly agnostic setup that allows us to identify many potential nonlinearities, building on a smoothed local projections approach with automatic selection of the relevant interaction terms. We find, that—while the direction of change is often similar—the precise dynamics differ sharply. In particular in times of economic uncertainty, when the proper assessment of monetary policy is most relevant, those existing differences are drastically augmented.

Keywords

Local ProjectionsDivisiaMonetary AggregationImpulse Response

Information

Type
Articles
Information
Macroeconomic Dynamics , Volume 25 , Issue 1 , January 2021 , pp. 240 - 256
Copyright
© Cambridge University Press 2018

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Footnotes

The author is indebted to Harald Uhlig, Fabio Canova, Jane Binner, James Swofford, and the participants of the 3rd HenU/INFER Workshop on Applied Macroeconomics.

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