| dc.contributor.author | Hansson, Magnus | |
| dc.date.accessioned | 2021-10-03T15:05:40Z | |
| dc.date.available | 2021-10-03T15:05:40Z | |
| dc.date.issued | 2021-10 | |
| dc.identifier.issn | 1403-2465 | |
| dc.identifier.uri | http://hdl.handle.net/2077/69745 | |
| dc.description | JEL Classi cation: C38, C55, E52, E58 | sv |
| dc.description.abstract | This paper studies the content of central bank speech communication from 1997 through 2020
and asks the following questions: (i) What global topics do central banks talk about? (ii) How
do these topics evolve over time? I turn to natural language processing, and more speci cally
Dynamic Topic Models, to answer these questions. The analysis consists of an aggregate study of
nine major central banks and a case study of the Federal Reserve, which allows for region speci c
control variables. I show that: (i) Central banks address a broad range of topics. (ii) The topics
are well captured by Dynamic Topic Models. (iii) The global topics exhibit strong and signi cant
autoregressive properties not easily explained by nancial control variables. | sv |
| dc.format.extent | 28 | sv |
| dc.language.iso | eng | sv |
| dc.publisher | University of Gothenburg | sv |
| dc.relation.ispartofseries | Working Papers in Economics | sv |
| dc.relation.ispartofseries | 811 | sv |
| dc.subject | central bank communication | sv |
| dc.subject | monetary policy | sv |
| dc.subject | textual analysis | sv |
| dc.subject | dynamic topic models | sv |
| dc.subject | narratives | sv |
| dc.title | Evolution of topics in central bank speech communication | sv |
| dc.type | Text | sv |
| dc.type.svep | report | sv |
| dc.contributor.organization | Department of Economics, University of Gothenburg | sv |
