Anderson Grajales-Olarte, Franz Hamann, Sara Naranjo-Saldarriaga, José Pulido
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引用次数: 0
Abstract
Inflationary surges, such as those experienced in the aftermath of the COVID-19 pandemic, can undermine the credibility of central bank inflation targets. Using survey data, we test for credibility losses in Colombia and assess their magnitude. We then use these estimates to inform a Bayesian estimation of a monetary policy model in which credibility is endogenous and depends on the central bank’s past performance in achieving its inflation target. We implement our framework within one of the main semi-structural models for monetary policy analysis in the country, the 4GM-model (Gonzalez et al., 2020). Our findings indicate that the post-pandemic inflationary surge in Colombia constitutes the episode with the largest credibility loss in recent decades, and that such episodes tend to make inflation stabilization policies more costly in terms of output.
2019冠状病毒病大流行后出现的通胀飙升,可能会破坏央行通胀目标的可信度。利用调查数据,我们测试了哥伦比亚的信誉损失并评估了其程度。然后,我们使用这些估计来告知货币政策模型的贝叶斯估计,其中可信度是内生的,取决于央行过去在实现其通胀目标方面的表现。我们在该国货币政策分析的主要半结构模型之一,即4gm模型(Gonzalez et al., 2020)中实施了我们的框架。我们的研究结果表明,哥伦比亚大流行后的通货膨胀激增是近几十年来信誉损失最大的时期,这种时期往往使稳定通货膨胀的政策在产出方面付出更大的代价。
期刊介绍:
The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.