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The Fisher effect: a Kalman filter approach to detecting structural change

机译:费雪效应:一种用于检测结构变化的卡尔曼滤波方法

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摘要

This article uses quarterly data on short-run nominal interest rates and inflation rates over the last four or three decades collected from Australia, Japan, Malaysia and Singapore to test whether the Fisher relation has empirical support. Since meaningful Fisher effect tests critically depend on the integration and cointegration properties of the variables, we present some empirical evidence on these issues and we also apply the Kalman filter to estimate the time-varying parameters. The results show that the data are generally rejecting a full Fisher effect. This implies that nominal interest rates do not respond point-for-point to changes in the expected inflation rates. The possible reasons for the inability to detect a full Fisher effect are also discussed.
机译:本文使用从澳大利亚,日本,马来西亚和新加坡收集的过去四个或三个十年中短期名义利率和通货膨胀率的季度数据来检验费舍尔关系是否有经验支持。由于有意义的Fisher效应测试严格取决于变量的积分和协整特性,因此我们提供了有关这些问题的经验证据,并且我们还应用了Kalman滤波器来估计随时间变化的参数。结果表明,该数据通常拒绝完全的费雪效应。这意味着名义利率不会对预期通货膨胀率的变化进行逐点响应。还讨论了无法检测到完全费舍尔效应的可能原因。

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  • 来源
    《Applied Economics Letters》 |2008年第8期|619-624|共6页
  • 作者单位

    Department of Business and Management, University of Kurdistan-Mawler,|Department of Economics and Finance, University of Skvde, Skvde, Sweden;

    Department of Economics and Finance, UAE University, AL-Ain, UAE;

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