Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?

We study the potential effect of the declaration of the state of emergency, the beginning and end of the stay-at-home orders, and the one-off Economic Impact Payments on food hardship in the US during the first wave of the coronavirus pandemic. We use daily data from Google Trends for the search ter...

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Detalles Bibliográficos
Autores: Ayllón, Sara, Lado Franco, Samuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/20448
Acceso en línea:http://hdl.handle.net/10256/20448
Access Level:acceso abierto
Palabra clave:Pandèmia de COVID-19, 2020- -- Aspectes econòmics
COVID-19 Pandemic, 2020- -- Economic aspects
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spelling Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?Ayllón, SaraLado Franco, SamuelPandèmia de COVID-19, 2020- -- Aspectes econòmicsCOVID-19 Pandemic, 2020- -- Economic aspectsWe study the potential effect of the declaration of the state of emergency, the beginning and end of the stay-at-home orders, and the one-off Economic Impact Payments on food hardship in the US during the first wave of the coronavirus pandemic. We use daily data from Google Trends for the search term “foodbank” and document the development of a hunger crisis, as indicated by the number of individuals who need to locate a food pantry through the internet. The demand for charitable food handouts begins to decrease once families start receiving the stimulus payments, but the biggest fall comes when economic activity resumes after the lifting of the lockdown orders. Our estimates indicate that the increased need for emergency help among vulnerable families lasted for at least 10 weeks during the first wave of the pandemic, and we argue that real-time data can be useful in predicting such urgencySupport from the projects PID2019-104619RB-C43 and 2017-SGR-1571 is acknowledged. Participants at the A&E seminar series at Universidad Carlos III (November 2020), the XXVIII Meeting on Public Economics (May 2021), the XXIII Applied Economics Meeting (June 2021), the 34th Meeting of the European Society for Population Economics (ESPE) (June 2021), the International Association for Applied Econometrics (IAAE) Annual Conference (June 2021), the XIV Labour Economics Meeting (July 2021) and the 9th Meeting of the Society for the Study of Economic Inequality (ECINEQ) (July 2021) are thanked for their useful comments. Sara Ayllón also thanks the Department of Social Sciences at the University of Eastern Finland for its warm hospitality while writing the revised version of this paperOpen Access funding provided thanks to the CRUE-CSIC agreement with WileyWiley2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpeer-reviewedapplication/pdfhttp://hdl.handle.net/10256/20448http://hdl.handle.net/10256/20448Review of Income and Wealth, 2022, vol. undefined, p. undefArticles publicats (D-EC)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.1111/roiw.12564info:eu-repo/semantics/altIdentifier/issn/0034-6586info:eu-repo/semantics/altIdentifier/eissn/1475-4991Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10256/204482026-05-29T05:05:01Z
dc.title.none.fl_str_mv Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
title Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
spellingShingle Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
Ayllón, Sara
Pandèmia de COVID-19, 2020- -- Aspectes econòmics
COVID-19 Pandemic, 2020- -- Economic aspects
title_short Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
title_full Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
title_fullStr Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
title_full_unstemmed Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
title_sort Food Hardship in the US During the Pandemic: What Can We Learn From Real-Time Data?
dc.creator.none.fl_str_mv Ayllón, Sara
Lado Franco, Samuel
author Ayllón, Sara
author_facet Ayllón, Sara
Lado Franco, Samuel
author_role author
author2 Lado Franco, Samuel
author2_role author
dc.subject.none.fl_str_mv Pandèmia de COVID-19, 2020- -- Aspectes econòmics
COVID-19 Pandemic, 2020- -- Economic aspects
topic Pandèmia de COVID-19, 2020- -- Aspectes econòmics
COVID-19 Pandemic, 2020- -- Economic aspects
description We study the potential effect of the declaration of the state of emergency, the beginning and end of the stay-at-home orders, and the one-off Economic Impact Payments on food hardship in the US during the first wave of the coronavirus pandemic. We use daily data from Google Trends for the search term “foodbank” and document the development of a hunger crisis, as indicated by the number of individuals who need to locate a food pantry through the internet. The demand for charitable food handouts begins to decrease once families start receiving the stimulus payments, but the biggest fall comes when economic activity resumes after the lifting of the lockdown orders. Our estimates indicate that the increased need for emergency help among vulnerable families lasted for at least 10 weeks during the first wave of the pandemic, and we argue that real-time data can be useful in predicting such urgency
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
peer-reviewed
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/20448
http://hdl.handle.net/10256/20448
url http://hdl.handle.net/10256/20448
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/roiw.12564
info:eu-repo/semantics/altIdentifier/issn/0034-6586
info:eu-repo/semantics/altIdentifier/eissn/1475-4991
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Review of Income and Wealth, 2022, vol. undefined, p. undef
Articles publicats (D-EC)
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instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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