Gender inequality in COVID-19 times: Evidence from UK Prolific participants
dc.contributor.author | Oreffice, S | |
dc.contributor.author | Quintana-Domeque, C | |
dc.date.accessioned | 2021-02-25T11:52:59Z | |
dc.date.issued | 2021-03-01 | |
dc.description.abstract | We investigate gender differences across multiple dimensions after three months of the first UK lockdown of March 2020, using an online sample of approximately 1,500 Prolific respondents residents in the UK. We find that women’s mental health was worse than men’s along the four metrics we collected data on, that women were more concerned about getting and spreading the virus, and that women perceived the virus as more prevalent and lethal than men did. Women were also more likely to expect a new lockdown or virus outbreak by the end of 2020, and were more pessimistic about the contemporaneous and future state of the UK economy, as measured by their forecasted contemporaneous and future unemployment rates. We also show that, between earlier in 2020 before the outbreak of the Coronavirus pandemic and June 2020, women had increased childcare and housework more than men. Neither the gender gaps in COVID19-related health and economic concerns nor the gender gaps in the increase in hours of childcare and housework can be accounted for by a rich set of control variables. Instead, we find that the gender gap in mental health can be partially accounted for by the difference in COVID-19-related health concerns between men and women. | en_GB |
dc.identifier.citation | Published online 1 March 2021 | en_GB |
dc.identifier.doi | 10.1017/dem.2021.2 | |
dc.identifier.uri | http://hdl.handle.net/10871/124914 | |
dc.language.iso | en | en_GB |
dc.publisher | Cambridge University Press (CUP) | en_GB |
dc.relation.url | https://sites.google.com/site/climentquintanadomeque/covid-19-data | en_GB |
dc.rights | © Université catholique de Louvain 2021. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | Coronavirus | en_GB |
dc.subject | sex | en_GB |
dc.subject | inequity | en_GB |
dc.subject | wellbeing | en_GB |
dc.subject | mental health | en_GB |
dc.subject | anxiety | en_GB |
dc.subject | employment | en_GB |
dc.subject | concerns | en_GB |
dc.subject | perceptions | en_GB |
dc.subject | donations | en_GB |
dc.subject | time allocation | en_GB |
dc.subject | childcare | en_GB |
dc.subject | housework | en_GB |
dc.title | Gender inequality in COVID-19 times: Evidence from UK Prolific participants | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2021-02-25T11:52:59Z | |
dc.identifier.issn | 2054-0892 | |
dc.description | This is the final version. Available on open access from Cambridge University Press via the DOI in this record | en_GB |
dc.description | Data availability: This article uses two types of data: primary and secondary. The secondary data comes from Understanding Society. Understanding Society is an initiative funded by the Economic and Social Research Council and various Government Departments, with scientific leadership by the Institute for Social and Economic Research, University of Essex, and survey delivery by NatCen Social Research and Kantar Public. The research data are distributed by the UK Data Service. The primary data (collected by the authors), questionnaire and replication files are publicly available from https://sites.google.com/site/climentquintanadomeque/covid-19-data | en_GB |
dc.identifier.journal | Journal of Demographic Economics | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2021-01-19 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2021-01-19 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2021-02-25T09:36:55Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-03-09T15:29:21Z | |
refterms.panel | C | en_GB |
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Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use,
distribution, and reproduction in any medium, provided the original work is properly cited.