Raising America’s future: Search for optimal child-related transfers
Oliwia Komada
Economic Modelling, 2024, vol. 138, issue C
Abstract:
The US differs from other OECD countries in terms of family policy size and composition. This study examines the welfare and macroeconomic effects of family policy reforms. I explore three policy instruments: child-related tax credits, childcare subsidies, and child allowances. The children are merit good due to pay-as-you-go social security structure. I show that expanding family policy, like the American Rescue Plan, improves welfare. I also define the optimal family policy for the United States. It accounts for about 3% of GDP, three times larger than the existing policy, and primarily focused on childcare subsidies. Family policy structure is critical for welfare evaluation because similar expenditure levels can result in contrasting welfare outcomes depending on policy composition. This study emphasizes the importance of carefully designed family policies, as well as the need for ongoing research and policy innovation to maximize societal benefits and promote equitable economic growth.
Keywords: Family policy; Social security system; Welfare; Income risk (search for similar items in EconPapers)
JEL-codes: D21 E62 H31 H55 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999324001214
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:138:y:2024:i:c:s0264999324001214
DOI: 10.1016/j.econmod.2024.106765
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().