Is a Dollar a Dollar? How Transfer Design Shapes Household Spending
Résumé fourni par la source
Government transfers vary along two design dimensions that standard models predict should not matter: whether benefits are paid in cash or kind, and whether they arrive as one-time or recurring payments. We test to what extent these design choices a!ect household spending using sharp changes in four pandemic-era transfers to lowincome families with children: one-time food vouchers, monthly food benefits, one-time cash payments, and monthly cash payments. Linking variation in benefit timing and amount to high-frequency household scanner data, we estimate spending responses in a harmonized di!erence-in-di!erences and event-study framework. We find that households spend more out of in-kind benefits than out of cash transfers of similar value, and more out of recurring payments than out of one-time transfers in the short-run. Our estimates produce the first internally comparable set of shortrun food-store MPCs across di!erent transfer types ranging from 0.18 (one-time) and 0.38 (monthly) for in-kind benefits, versus 0.06 (one-time) and 0.20 (monthly) for cash. The patterns suggest that the form and timing of transfers systematically shape household spending in ways that are consistent with mental accounting, labeling, and forward-looking responses. More broadly, our results imply that transfer design-not just generosity and targeting-is a first-order policy lever for both social insurance and short-run demand stabilization.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Is a Dollar a Dollar? How Transfer Design Shapes Household Spending
- Date Crossref
- 01/09/2026
- Éditeur
- National Bureau of Economic Research
- Type
- report
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.