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Published in: International Tax and Public Finance 6/2022

08-10-2022

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

Authors: Marianne Bitler, Jason Cook, Danea Horn, Nathan Seegert

Published in: International Tax and Public Finance | Issue 6/2022

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Abstract

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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Appendix
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Footnotes
1
Note, most of our analysis is of participation among persons irrespective of eligibility due to the fact that our data do not contain all of the characteristics needed to determine eligibility for any of the programs we study. We discuss below some regressions which attempt to come closer to representing take-up than participation per capita. We discuss this further below, but participation is informative about take-up under some assumptions, and we are not alone in focusing on participation rather than take-up due to these complications.
 
2
We followed some previous work to decide what questions to ask to elicit these reasons (e.g., Stuber and Kronebusch (2004), for difficulty applying; or Wang et al. (2022) for work about race stereotypes in subjects (for stigma/not for people like me) as well as questions about lack of knowledge about programs and ineligibility.
 
3
We follow the Census Pulse in measuring hardship this way. This is a short and low-burden way of assessing food-related hardship and is related to food insecurity.
 
4
We explored whether Utah was better at getting safety net and social insurance programs out to residents of Utah. We used descriptive synthetic control regressions of the effect of being “Utah” during various periods to assess the deployment of social safety net programs in Utah. However, our findings were not particularly compelling and varied considerably with different recipient rates or spending per capita on the right-hand side.
 
5
Bauer et al. (2020) use variation in when states sent out the EBT payments to show they reduced food insecurity for families with children. Parolin et al. (2022) show that poverty was affected by the various forms of government relief.
 
6
The UCBES sampled 400 Utah residents per month and follows the Michigan Survey of Consumers, which includes 500 completed interviews per month. Recruitment occurs through a hard copy letter sent to physical addresses. Participants are paid a $10 gift card. Addresses are selected from the universe of addresses in Utah based on prior non-response rates in a way that has been shown to produce a representative sample (Samore et al., 2021; Yang et al., forthcoming; Gaulin et al., 2020). More details are available in the appendix.
 
7
We also control for income being at least $75,000, but cannot include an indicator in each data set for missingness of the income variables because the data are collected differently across the Utah Survey and the ASEC. We have explored controlling for missing income in the Utah data below, and find it makes little-to-no difference.
 
8
Certain states have chosen a policy called Broad Based Categorical Eligibility which enables them to set a higher income threshold than 130% of the Federal Poverty guideline.
 
9
Families obtaining free or reduced meals whose schools were closed could apply for P-EBT from 3/16/2020-8/31/2020.
 
10
We note there is a large literature documenting under-reporting of benefits in normal times (e.g., Meyer et al. (2015)). One might wonder if they under-report because of stigma. We think government benefits were expanded and likely had less stigma during COVID-19.
 
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Metadata
Title
Incomplete program take-up during a crisis: evidence from the COVID-19 shock in one U.S. state
Authors
Marianne Bitler
Jason Cook
Danea Horn
Nathan Seegert
Publication date
08-10-2022
Publisher
Springer US
Published in
International Tax and Public Finance / Issue 6/2022
Print ISSN: 0927-5940
Electronic ISSN: 1573-6970
DOI
https://doi.org/10.1007/s10797-022-09760-y

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