Can reducing learning costs improve public support for means‐tested benefit programs?

Abstract This study investigates how efforts to reduce learning costs of means‐tested public benefit programs impact public support of these programs and perceived deservingness of program beneficiaries. Focusing on the Supplemental Nutrition Assistance Program (SNAP) in the United States, a well‐known means‐tested public benefit program, we integrate research from educational psychology with policy feedback theory, predicting that the structure of information about SNAP's application process and eligibility requirements affects learning costs and public attitudes toward this program and its beneficiaries. Testing these predictions through a preregistered dose–response survey experiment, participants are randomly assigned to control or one of three treatment groups, which incrementally alters the structure of SNAP information participants are exposed to. Our findings demonstrate that enhancing the SNAP information structure lowers learning costs and indirectly improves public support and perceived deservingness of beneficiaries. We discuss implications for theory and practice.

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Publication Details

Journal
Policy Studies Journal
Published
2024-12-06
DOI
https://doi.org/10.1111/psj.12578
Citations
4
Primary Topic
Evaluation and Performance Assessment
Type
article
Field-Weighted Citation Impact
1.96
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article

Can reducing learning costs improve public support for means‐tested benefit programs?

Stephanie J. Walsh, Andrea Hetling, Gregory A. Porumbescu
4 citations
Policy Studies Journal
Evaluation and Performance Assessment
1.96
article

Can reducing learning costs improve public support for means‐tested benefit programs?

Stephanie J. Walsh, Andrea Hetling, Gregory A. Porumbescu
article en
4 citations

Abstract

Abstract This study investigates how efforts to reduce learning costs of means‐tested public benefit programs impact public support of these programs and perceived deservingness of program beneficiaries. Focusing on the Supplemental Nutrition Assistance Program (SNAP) in the United States, a well‐known means‐tested public benefit program, we integrate research from educational psychology with policy feedback theory, predicting that the structure of information about SNAP's application process and eligibility requirements affects learning costs and public attitudes toward this program and its beneficiaries. Testing these predictions through a preregistered dose–response survey experiment, participants are randomly assigned to control or one of three treatment groups, which incrementally alters the structure of SNAP information participants are exposed to. Our findings demonstrate that enhancing the SNAP information structure lowers learning costs and indirectly improves public support and perceived deservingness of beneficiaries. We discuss implications for theory and practice.

Policy Studies JournalVol. 53(1)
Rutgers, The State University of New Jersey (US), University of Georgia (US)
Zero hunger
Openalex Percentile: Top 12%
Evaluation and Performance Assessment
1.96
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Can reducing learning costs improve public support for means‐tested benefit programs? — Stephanie J. Walsh, Andrea Hetling, et al. · Policy Studies Journal (2024) | TGRS Research Map | TGRS