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Verfasst von:Arndt, Sarah [VerfasserIn]   i
Titel:Different newspapers - different inflation perceptions
Verf.angabe:Sarah Arndt
Verlagsort:Heidelberg
Verlag:Heidelberg University, Department of Economics
E-Jahr:2024
Jahr:25 Jun. 2024
Umfang:1 Online-Ressource (41 Seiten)
Illustrationen:Diagramme
Gesamttitel/Reihe:AWI discussion paper series ; no. 748 (June 2024)
Abstract:In this paper, I investigate how inflation signals from different types of newspapers influence household inflation expectations in Germany. Using text data and the large language model GPT-3.5-turbo-1106, I construct newspaper-specific indicators and find significant heterogeneity in their informativeness based on the genre-tabloid versus reputable sources. The tabloid's indicator is more effective for predicting perceived inflation among low-income and lower-education households, while reputable newspapers better predict higher-income and more educated households' expectations. Local projections reveal that tabloid sentiment shows an immediate decrease following a monetary policy shock, whereas responses from reputable newspapers are smaller and delayed. Household expectations also vary depending on the type of newspaper affected by the sentiment shock and the socioeconomic background of the household. These findings underscore the differentiated impact of media on inflation expectations across various segments of society, providing valuable insights for policymakers to tailor communication strategies effectively.
DOI:doi:10.11588/heidok.00034992
URL:kostenfrei: Verlag: https://archiv.ub.uni-heidelberg.de/volltextserver/34992/7/Arndt_dp748_2024.pdf
 kostenfrei: Resolving-System: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-349926
 kostenfrei: Resolving-System: https://doi.org/10.11588/heidok.00034992
 kostenfrei: Resolving-System: https://hdl.handle.net/10419/301188
 DOI: https://doi.org/10.11588/heidok.00034992
 10419/301188
URN:urn:nbn:de:bsz:16-heidok-349926
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Inflation expectations
 text mining
 forecasting
 monetary policy
 LLM
 ChatGPT
Form-SW:Graue Literatur
K10plus-PPN:1895451612
Verknüpfungen:→ Übergeordnete Aufnahme
 
 
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