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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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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. |
format | Online Article Text |
id | pubmed-9547372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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