JOURNAL ARTICLE
Consumer Response to Monetary Subsidies: A Structural Demand Analysis of the Supplemental Nutrition Assistance Program.
Published In: Marketing Science (INFORMS), 2025, v. 44, n. 6. P. 1232 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Oberg, Rudolf-Harri; Musalem, Andrés 3 of 3
Abstract
This article analyzes consumer responses to alternative designs of the Supplemental Nutrition Assistance Program (SNAP) by modeling how spending restrictions affect food purchases and consumer welfare. Using a structural direct utility model that integrates consumer choices across brands, categories, and stores, the study simulates counterfactual subsidy scenarios—including standard SNAP benefits (food only), expanded grocery subsidies (food and household items), and unrestricted cash benefits—based on household panel data from two U.S. markets. Findings indicate that SNAP benefits increase food spending with a marginal propensity to consume food (MPCF) of about 0.34, higher than that for grocery subsidies (0.30) and cash benefits (0.26), but only about 70% of the subsidy is spent, with significant spillovers to non-covered categories and outside goods. From a welfare perspective, consumers value the flexibility of unrestricted cash benefits, with $100 in SNAP benefits being roughly equivalent to $29 in cash, a difference partly explained by travel costs to stores. The study highlights trade-offs between policy goals and consumer welfare, providing detailed insights into how subsidy design influences purchasing behavior and welfare, while acknowledging limitations such as geographic scope and unmodeled supply-side responses.
Additional Information
- Source:Marketing Science (INFORMS). 2025/11, Vol. 44, Issue 6, p1232
- Document Type:Article
- Subject Area:Politics and Government
- Publication Date:2025
- ISSN:0732-2399
- DOI:10.1287/mksc.2021.0374
- Accession Number:189190915
- Copyright Statement:Copyright of Marketing Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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