Introducing Textual Measures of Central Bank Policy-Linkages Using ChatGPT

Lauren Caroline Leek, Simeon Bischl and Maximilian Freier
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Lauren Caroline Leek: European University Institute

No 78wnp, SocArXiv from Center for Open Science

Abstract: While institutionally independent, monetary policy-makers do not operate in a vacuum. The policy choices of a central bank are intricately linked to government policies and financial markets. We present novel indices of monetary, fiscal and financial policy-linkages based on central bank communication, namely, speeches by 118 central banks worldwide from 1997 to mid-2023. Our indices measure not only instances of monetary, fiscal or financial dominance but, importantly, also identify communication that aims to coordinate monetary policy with the government and financial markets. To create our indices, we use a Large Language Model (ChatGPT 3.5-0301) and provide transparent prompt-engineering steps, considering both accuracy on the basis of a manually coded dataset as well as efficiency regarding token usage. We also test several model improvements and provide descriptive statistics of the trends of the indices over time and across central banks including correlations with political-economic variables.

Date: 2024-02-14
New Economics Papers: this item is included in nep-ain, nep-ban, nep-big, nep-cba, nep-cmp, nep-his and nep-mon
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:78wnp

DOI: 10.31219/osf.io/78wnp

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