Divisia Monetary Aggregates for India

Anirban Sengupta, Apostolos Serletis, Libo Xu
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Abstract

In this paper, we are motivated by the fast growing literature that investigates the performance of Divisia monetary aggregates. We construct Divisia monetary aggregates for India using monthly data form January 2001 to March 2020 and present a comprehensive comparison across the Indian Divisia monetary aggregates at four levels of monetary aggregation, M1, M2, M3, and M4. We do so in the context of three classes of empirical models. In particular, we compute correlations between the cyclical components of the Divisia monetary aggregates and the cyclical component of the industrial production index. We test for Granger causality running from the Divisia monetary aggregates to industrial production. We also test for time-varying Granger causality. We find that the levels of the Divisia monetary aggregates Granger cause economic activity in India during normal times, but the causal link broke during and in the aftermath of the extremely unusual circumstances of the Covid-19 crisis.
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印度的 Divisia 货币总量
在本文中,我们受到了研究 Divisia 货币总量表现的快速增长的文献的激励。我们利用 2001 年 1 月至 2020 年 3 月的月度数据构建了印度的 Divisia 货币总量,并在 M1、M2、M3 和 M4 四个货币总量层次上对印度的 Divisia 货币总量进行了综合比较。我们是在三类经验模型的背景下进行比较的。特别是,我们计算了Divisia货币总量的周期成分与工业生产指数的周期成分之间的相关性。我们检验了从 Divisia 货币总量到工业生产的格兰杰因果关系。我们还检验了时变格兰杰因果关系。我们发现,在正常时期,Divisia 货币总量的水平会格兰杰引起印度的经济活动,但在 Covid-19 危机的极不寻常情况期间和之后,这种因果联系中断了。
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