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Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state

In the U.S., means-tested cash, in-kind assistance, and social insurance are part of a patchwork safety net, often run with substantial involvement of state and local governments. Take-up–participation among eligible persons in this system is incomplete. A large literature points to both neo-classic...

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Autores principales: Bitler, Marianne, Cook, Jason, Horn, Danea, Seegert, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547372/
https://www.ncbi.nlm.nih.gov/pubmed/36246496
http://dx.doi.org/10.1007/s10797-022-09760-y
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author Bitler, Marianne
Cook, Jason
Horn, Danea
Seegert, Nathan
author_facet Bitler, Marianne
Cook, Jason
Horn, Danea
Seegert, Nathan
author_sort Bitler, Marianne
collection PubMed
description In the U.S., means-tested cash, in-kind assistance, and social insurance are part of a patchwork safety net, often run with substantial involvement of state and local governments. Take-up–participation among eligible persons in this system is incomplete. A large literature points to both neo-classical and behavioral science explanations for low take-up. In this paper, we explore the response of the safety net to COVID-19 using newly-collected survey data from one U.S. state–Utah. The rich Utah data ask about income and demographics as well as use of three social safety net programs which collectively provided a large share of relief spending: the Unemployment Insurance program, a social insurance program providing workers who lose their jobs with payments; the Supplemental Nutrition Assistance Program, which provides benefit cards for purchasing unprepared food at retailers; and Economic Impact Payments, which provided relatively universal relief payments to individuals. The data do not suffice to determine eligibility for all of the programs, so we focus on participation per capita. These data also collect information on several measures of hardship and why individuals did not receive any of the 3 programs. We test for explanations that differentiate need, lack of information, transaction costs/administrative burden, stigma, and lack of eligibility. We use measures of hardship to assess targeting. We find that lack of knowledge as well as difficulty applying, and stigma in the UI program each play a role as reasons for not participating in the programs.
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spelling pubmed-95473722022-10-11 Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state Bitler, Marianne Cook, Jason Horn, Danea Seegert, Nathan Int Tax Public Financ Article In the U.S., means-tested cash, in-kind assistance, and social insurance are part of a patchwork safety net, often run with substantial involvement of state and local governments. Take-up–participation among eligible persons in this system is incomplete. A large literature points to both neo-classical and behavioral science explanations for low take-up. In this paper, we explore the response of the safety net to COVID-19 using newly-collected survey data from one U.S. state–Utah. The rich Utah data ask about income and demographics as well as use of three social safety net programs which collectively provided a large share of relief spending: the Unemployment Insurance program, a social insurance program providing workers who lose their jobs with payments; the Supplemental Nutrition Assistance Program, which provides benefit cards for purchasing unprepared food at retailers; and Economic Impact Payments, which provided relatively universal relief payments to individuals. The data do not suffice to determine eligibility for all of the programs, so we focus on participation per capita. These data also collect information on several measures of hardship and why individuals did not receive any of the 3 programs. We test for explanations that differentiate need, lack of information, transaction costs/administrative burden, stigma, and lack of eligibility. We use measures of hardship to assess targeting. We find that lack of knowledge as well as difficulty applying, and stigma in the UI program each play a role as reasons for not participating in the programs. Springer US 2022-10-08 2022 /pmc/articles/PMC9547372/ /pubmed/36246496 http://dx.doi.org/10.1007/s10797-022-09760-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Bitler, Marianne
Cook, Jason
Horn, Danea
Seegert, Nathan
Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
title Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
title_full Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
title_fullStr Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
title_full_unstemmed Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
title_short Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
title_sort incomplete program take-up during a crisis: evidence from the covid-19 shock in one u.s. state
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547372/
https://www.ncbi.nlm.nih.gov/pubmed/36246496
http://dx.doi.org/10.1007/s10797-022-09760-y
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