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Data for Coronavirus perceptions and economic anxiety
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Hensel, Lukas, Fetzer, Thiemo, Hermle, Johannes and Roth, Christopher (2021) Data for Coronavirus perceptions and economic anxiety. [Dataset]
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Official URL: https://doi.org/10.7910/DVN/NGHYPI
Abstract
We provide one of the first systematic assessments of the development and determinants of economic anxiety at the onset of the coronavirus pandemic. Using a global dataset on internet searches and two representative surveys from the US, we document a substantial increase in economic anxiety during and after the arrival of the coronavirus. We also document a large dispersion in beliefs about the pandemic risk factors of the coronavirus, and demonstrate that these beliefs causally affect individuals’ economic anxieties. Finally, we show that individuals’ mental models of infectious disease spread understate non-linear growth and shape the extent of economic anxiety.
Item Type: | Dataset | ||||||
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Subjects: | H Social Sciences > HC Economic History and Conditions R Medicine > RA Public aspects of medicine |
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Divisions: | Faculty of Social Sciences > Economics | ||||||
Type of Data: | Modelling data | ||||||
Library of Congress Subject Headings (LCSH): | COVID-19 (Disease), COVID-19 (Disease) -- Economic aspects | ||||||
Publisher: | University of Warwick, Department of Economics | ||||||
Official Date: | 8 March 2021 | ||||||
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Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Media of Output (format): | .csv .ado .do .trk .tex .tab .sthlp .mata .png | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Copyright Holders: | University of Warwick | ||||||
Description: | Data record consists of 162 raw data files, including do files, tabular data, and LaTeX files. |
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