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联邦公开市场委员会(FOMC)内部的透明度与审议:一种计算语言学方法*

Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach*
Quarterly Journal of Economics · 2017 · Stephen Hansen、Michael McMahon、Andrea Prat

中文摘要

透明度作为中央银行制度设计的一项关键特征,如何影响货币政策制定者的审议?理论预测,透明度会产生正向的约束效应和负向的从众效应。我们利用1993年联邦公开市场委员会的一项自然实验以及计算语言学算法,对这些效应进行实证考察。首先,我们发现,提高透明度后,沟通模式发生了较大变化。随后,我们提出一种受职业顾虑文献启发的双重差分方法,并找到了支持这两种效应的证据。最后,我们构建了一项影响力测度,该测度提示约束效应占主导地位。

Abstract

How does transparency, a key feature of central bank design, affect monetary policy makers’ deliberations? Theory predicts a positive discipline effect and negative conformity effect. We empirically explore these effects using a natural experiment in the Federal Open Market Committee in 1993 and computational linguistics algorithms. We first find large changes in communication patterns after transparency. We then propose a difference-in-differences approach inspired by the career concerns literature, and find evidence for both effects. Finally, we construct an influence measure that suggests the discipline effect dominates.
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