Transparency and Deliberation within the FOMC: a Computational Linguistics Approach

Andrea Prat, Michael McMahon and Stephen Hansen

No 762, Working Papers from Barcelona School of Economics

Abstract: How does transparency, a key feature of central bank design, affect the deliberation of monetary policymakers? We exploit a natural experiment in the Federal Open Market Committee in 1993 together with computational linguistic models (particularly Latent Dirichlet Allocation) to measure the effect of increased transparency on debate. Commentators have hypothesized both a beneficial discipline effect and a detrimental conformity effect. A difference-in-differences approach inspired by the career concerns literature uncovers evidence for both effects. However, the net effect of increased transparency appears to be a more informative deliberation process.

Keywords: monetary policy; Career Concerns; deliberation; FOMC; transparency (search for similar items in EconPapers)
JEL-codes: D78 E52 E58 (search for similar items in EconPapers)
Date: 2015-09
New Economics Papers: this item is included in nep-cba, nep-cmp, nep-mac and nep-mon
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Citations: View citations in EconPapers (43)

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Related works:
Journal Article: Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach (2018)
Working Paper: Transparency and Deliberation within the FOMC: A Computational Linguistics Approach (2014)
Working Paper: Transparency and Deliberation within the FOMC: a Computational Linguistics Approach (2014)
Working Paper: Transparency and Deliberation within the FOMC: a Computational Linguistics Approach (2014)
Working Paper: Transparency and deliberation within the FOMC: a computational linguistics approach (2014)
Working Paper: Transparency and deliberation within the FOMC: a computational linguistics approach (2014)
Working Paper: Transparency and deliberation within the FOMC: A computational linguistics approach (2014)
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