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Nominal GDP Targeting and the Taylor Rule on an Even Playing Field

机译:名义GDP目标和公平竞争环境中的泰勒规则

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摘要

Some economists advocate nominal GDP targeting as an alternative to the Taylor Rule. These arguments are largely based on the idea that nominal GDP targeting would require less knowledge on the part of policymakers than a traditional Taylor Rule. In particular, a nominal GDP targeting rule would not require real-time knowledge of the output gap. We examine the importance of this claim by amending a standard New Keynesian model to assume that the central bank has imperfect information about the output gap and therefore must forecast the output gap based on previous information. Forecast errors by the central bank can then potentially induce unanticipated changes in the short-term nominal interest rate, distinct from a standard monetary policy shock. We show that forecast errors of the output gap by the Federal Reserve can account for up to 13% of the fluctuations in the output gap. In addition, our simulations imply that a nominal GDP targeting rule would produce lower volatility in both inflation and the output gap in comparison with the Taylor Rule under imperfect information.
机译:一些经济学家主张以名义GDP为目标来替代泰勒规则。这些论点主要基于这样一个想法,即与传统的泰勒规则相比,名义国内生产总值的目标需要决策者较少的知识。特别是,名义GDP目标定额规则将不需要实时了解产出缺口。我们通过修改标准的新凯恩斯模型来假设中央银行关于产出缺口的信息不完善,因此必须根据先前的信息预测产出缺口,从而检验这一要求的重要性。然后,中央银行的预测误差可能会导致短期名义利率发生意料之外的变化,这与标准的货币政策冲击不同。我们表明,美联储对产出缺口的预测误差最多可占产出缺口波动的13%。此外,我们的模拟结果表明,与不完全信息下的泰勒规则相比,名义GDP目标规则将在通货膨胀和产出缺口方面产生较低的波动性。

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