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Estimation of monetary policy preferences in a forward-looking model: a Bayesian approach. NBB Working Papers No. 129, 13 March 2008

机译:在前瞻性模型中估计货币政策偏好:贝叶斯方法。 NBB工作论文第129号,2008年3月13日

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摘要

In this paper, we adopt a Bayesian approach to estimating monetary policy preference parameters in a general equilibrium framework. We start out from the model presented by Smets and Wouters (2003) for the euro area, where, in the original set-up, monetary policy behaviour is described by an empirical rule. We abandon this way of representing monetary policy behaviour and instead assume that monetary policy authorities optimise an intertemporal quadratic loss function under commitment. We consider two alternative specifications for the loss function. The first specification includes inflation, the output gap and difference in the interest rate as target variables. The second loss function includes an additional wage inflation target. The weights assigned to the target variables in the loss functions, i.e. the preferences of monetary policy, are estimated jointly with the structural parameters in the model. The results imply that inflation variability remains the main concern of optimal monetary policy. In addition, interest rate smoothing and the output gap appear to be important target variables as well, albeit to a lesser extent. Comparing the marginal likelihood of the original Smets and Wouters (2003) model to our specification with optimal monetary policy indicates that the latter performs only slightly worse. Since we are faced with the time-inconsistency problem under commitment, we initialise our estimates by considering a pre-sample period of 40 quarters. This enables an empirical approach to the timeless perspective framework.
机译:在本文中,我们采用贝叶斯方法来估计一般均衡框架中的货币政策偏好参数。我们从Smets和Wouters(2003)提出的欧元区模型开始,在该模型中,在原始设置中,货币政策行为由经验法则来描述。我们放弃了这种表示货币政策行为的方式,而是假设货币政策当局根据承诺优化了跨期二次损失函数。我们考虑损失函数的两个替代规范。第一个指标包括通货膨胀,产出缺口和利率差异作为目标变量。第二损失函数包括额外的工资通胀目标。损失函数中分配给目标变量的权重(即货币政策的偏好)与模型中的结构参数一起进行估算。结果表明,通货膨胀的可变性仍然是最优货币政策的主要关注点。此外,利率平滑化和产出缺口似乎也是重要的目标变量,尽管程度较小。将最初的Smets and Wouters(2003)模型与我们的规范与最优货币政策的边际可能性进行比较表明,后者的表现稍差一些。由于我们面临承诺中的时间不一致问题,因此我们通过考虑40个季度的预采样期来初始化估计。这为永恒的视角框架提供了一种经验方法。

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    Ilbas Pelin.;

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  • 年度 2008
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  • 正文语种 {"code":"en","name":"English","id":9}
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