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Time-varying Inflation Dynamics and Monetary Policy Credibility: A Bivariate Approach with Stochastic Uncertainty

机译:时变通胀动态和货币政策可信度:一种与随机不确定性的双变量方法

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This paper addresses the properties of inflation dynamics and proposes a univariate ARFIMA-EGARCH-in-mean model to accommodate inflation rates, expectations, volatilities and persistence. As the changes within inflation dynamics may be caused by the lack of monetary policy credibility, a generalized approach is developed to be concerned with the measurement of credibility. Through a bivariate model, all possibilities for relevant variables and effects can be capsuled in one framework simultaneously. And thus empirical results should deliver useful implications should for the conduct of central banks' monetary policy.
机译:本文解决了通货膨胀动态的属性,并提出了一个单变量的Arfima-eGarch-in-in-in-in-in-in-in-mear,以适应通货膨胀率,期望,挥发性和持久性。随着通货膨胀动态的变化可能是由于货币政策可信度缺乏造成的,制定了一种广义的方法,以涉及可信度的衡量。通过双变量模型,可以同时在一个框架中拓扑相关变量和效果的所有可能性。因此,实证结果应为中央银行货币政策的行为提供有用的影响。

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