The Optimal Monetary Instrument and the (Mis)Use of Causality Tests

John W. Keating, A. Smith
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引用次数: 4

Abstract

This paper uses a New-Keynesian model with multiple monetary assets to show that if the choice of instrument is based solely on its propensity to predict macroeconomic targets, a central bank may choose an inferior policy instrument. We compare a standard interest rate rule to a k-percent rule for three alternative monetary aggregates determined within our model: the monetary base, the simple sum measure of money, and the Divisia measure. Welfare results are striking. While the interest rate dominates the other two monetary aggregate k-percent rules, the Divisia k-percent rule outperforms the interest rate rule. Next we study the ability of Granger Causality tests ? in the context of data generated from our model ? to correctly identify welfare improving instruments. All of the policy instruments considered, except for Divisia, Granger Cause both output and prices at extremely high levels of significance. Divisia fails to Granger Cause prices despite the Divisia rule stabilizing inflation better than these alternative policy instruments. The causality results are robust to using a popular version of the Sims Causality test for which we show standard asymptotics remain valid when the variables are integrated, as in our case.
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最优货币工具和因果检验的(错误)使用
本文使用具有多种货币资产的新凯恩斯模型来表明,如果工具的选择仅仅基于其预测宏观经济目标的倾向,央行可能会选择较差的政策工具。我们将标准利率规则与k %规则进行比较,以确定我们模型中确定的三种替代货币总量:货币基础、货币的简单总和衡量标准和Divisia衡量标准。福利结果是惊人的。虽然利率在其他两个货币总量k %规则中占主导地位,但分割k %规则优于利率规则。接下来我们研究格兰杰因果检验的能力?在我们的模型生成的数据的背景下?正确识别福利改善工具。考虑的所有政策工具,除了除法,格兰杰导致产量和价格在极高水平的显著性。尽管比这些替代政策工具更能稳定通货膨胀,但Divisia未能格兰杰导致价格。因果关系结果对于使用Sims因果关系检验的流行版本是稳健的,我们表明,当变量被整合时,标准渐近仍然有效,就像我们的情况一样。
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