Neighborhood networks and program participation
Daniel Grossman and
Umair Khalil ()
Journal of Health Economics, 2020, vol. 70, issue C
Abstract:
We investigate whether social interactions among pregnant women can lead to increased Medicaid participation within this population. Using geographically fine vital statistics data, we exploit variation in Medicaid use among recently pregnant mothers, within small neighborhoods, to study the impact on participation among currently pregnant women. Women are more likely to use Medicaid benefits while pregnant including prenatal care, when previously pregnant women on their census block also received similar benefits. Network effects are relatively larger for young first-time mothers as well as for women within neighborhoods with lower initial levels of welfare program knowledge.
Keywords: Program participation; Peer effects; Networks; Medicaid (search for similar items in EconPapers)
JEL-codes: C31 I13 I18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167629618306830
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:jhecon:v:70:y:2020:i:c:s0167629618306830
DOI: 10.1016/j.jhealeco.2019.102257
Access Statistics for this article
Journal of Health Economics is currently edited by J. P. Newhouse, A. J. Culyer, R. Frank, K. Claxton and T. McGuire
More articles in Journal of Health Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().