M0: Causes and Consequences

Francis Breedon, P. Fisher
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引用次数: 21

Abstract

This paper analyses four aspects of the determination and effects of M0 using annual, quarterly and monthly data. First it analyses the issue of the correct scale variable for determining M0. A combination of survey evidence and statistical tests indicate that retail sales is the most appropriate scale variable to use in looking at M0. Second, the paper looks at the best way to explain the trend in M0 velocity. It confirms earlier results showing that a cumulative interest rate term gives an adequate representation of the trend and is better than a linear time trend for this purpose. Third, the paper looks at the short-run interest elasticity of demand for M0. It finds that this elasticity is highly variable across models and suggests that the analysis of M0 is problematic following substantial changes in interest rates. Lastly, and probably most controvertially it looks at the leading indicators of properties in M0 for inflation. It finds that these are particularly robust and cannot be matched simply by the product of the explanatory terms in the M0 equation. Although this result is implicit in previous work done in the Bank (eg 'VAR models of inflation' Bank of England Quarterly Bulletin, May 1993) this paper makes an explicit empirical link between M0 and inflation.
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原因和结果
本文利用年度、季度和月度数据,从四个方面分析了M0的确定及其影响。首先分析了确定M0的正确尺度变量问题。调查证据和统计检验的结合表明,零售额是观察M0时最合适的尺度变量。其次,本文着眼于解释M0速度趋势的最佳方式。它证实了先前的结果,表明累积利率期限充分代表了趋势,并且在这方面比线性时间趋势更好。第三,本文考察了M0需求的短期利率弹性。它发现,这种弹性在不同的模型中是高度可变的,并表明,在利率发生重大变化后,对M0的分析是有问题的。最后,可能也是最具争议的一点是,它考察了M0中房地产通胀的领先指标。它发现这些是特别稳健的,不能简单地用M0方程中解释项的乘积来匹配。虽然这一结果隐含在银行之前的工作中(例如“通货膨胀的VAR模型”,英格兰银行季刊,1993年5月),但本文在M0和通货膨胀之间建立了明确的实证联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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