Money Matters: Broad Divisia Money and the Recovery of the US Nominal GDP From the COVID-19 Recession

IF 3.4 3区 经济学 Q1 ECONOMICS
Michael D. Bordo, John V. Duca
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Abstract

The rise of inflation in 2021 and 2022 surprised many macroeconomists who ignored the earlier surge in money growth because of past instability in the demand for simple-sum monetary aggregates. We find that the demand for more theoretically based Divisia aggregates can be modeled and that these aggregates provide useful information about nominal GDP. Unlike M2 and Divisia-M2, whose velocities do not internalize shifts in liabilities across commercial and shadow banks, the velocities of broader Divisia monetary aggregates are stable and can be empirically modeled through the Covid-19 pandemic. In the long run, these velocities depend on regulation and mutual fund costs that affect the substitutability of money for other financial assets. In the short run, we control for swings in mortgage activity and use vaccination rates and the stringency of government pandemic restrictions to control for the unusual pandemic effects. The velocity of broad Divisia money declines during crises like the Great and COVID Recessions but later rebounds. In these recessions, monetary policy lowered short-term interest rates to zero and engaged in quantitative easing of about $4 trillion. Nevertheless, broad money growth was more robust in the COVID Recession, reflecting a less impaired banking system that promoted rather than hindered deposit creation. Our framework implies that nominal GDP growth and inflation rebounded more quickly from the COVID Recession versus the Great Recession. Our different scenarios for future Divisia money growth and the unwinding of the pandemic have different implications for medium-term nominal GDP growth and inflationary pressures.

货币问题:广义货币与美国名义GDP从COVID-19衰退中复苏
2021年和2022年通货膨胀率的上升令许多宏观经济学家感到惊讶,由于过去对简单货币总量的需求不稳定,他们忽略了早期货币增长的激增。我们发现,对更多基于理论的除法总量的需求可以建模,这些总量提供了有关名义GDP的有用信息。M2和division -M2的速度不会内部化商业银行和影子银行的负债变化,与之不同的是,更广泛的division货币总量的速度是稳定的,可以通过Covid-19大流行进行经验建模。从长期来看,这些速度取决于影响货币对其他金融资产可替代性的监管和共同基金成本。在短期内,我们控制抵押贷款活动的波动,并利用疫苗接种率和政府流行病限制的严格程度来控制不寻常的流行病影响。在大衰退和新冠经济衰退等危机期间,广义部门资金的流通速度会下降,但随后会反弹。在这些衰退中,货币政策将短期利率降至零,并实施了大约4万亿美元的量化宽松政策。然而,在新冠经济衰退期间,广义货币增长更为强劲,反映出银行体系受损程度较轻,促进了而不是阻碍了存款创造。我们的框架表明,与大衰退相比,名义GDP增长和通胀在新冠经济衰退期间反弹得更快。我们对未来国际货币基金组织货币增长和疫情解除的不同设想,对中期名义GDP增长和通胀压力有着不同的影响。
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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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