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

COVID-19 Hardship Relief SNAP Safety-net Take-up UI

Journal

International tax and public finance
ISSN: 1573-6970
Titre abrégé: Int Tax Public Financ
Pays: United States
ID NLM: 101753618

Informations de publication

Date de publication:
2022
Historique:
accepted: 13 08 2022
pubmed: 18 10 2022
medline: 18 10 2022
entrez: 17 10 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36246496
doi: 10.1007/s10797-022-09760-y
pii: 9760
pmc: PMC9547372
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1373-1394

Informations de copyright

© 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.

Auteurs

Marianne Bitler (M)

Department of Economics, University of California-Davis, Davis, CA USA.
IZA, Bonn, Germany.
NBER, Cambridge, MA USA.

Jason Cook (J)

IZA, Bonn, Germany.
Department of Finance, David Eccles School of Business, The University of Utah, Salt Lake City, Utah USA.
CESifo, Munich, Germany.

Danea Horn (D)

Department of Economics, Stanford University, Palo Alto, CA USA.

Nathan Seegert (N)

Department of Finance, David Eccles School of Business, The University of Utah, Salt Lake City, Utah USA.

Classifications MeSH