TY - JOUR
T1 - Neighborhood networks and program participation
AU - Grossman, Daniel
AU - Khalil, Umair
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
KW - Medicaid
KW - Networks
KW - Peer effects
KW - Program participation
UR - http://www.scopus.com/inward/record.url?scp=85077386494&partnerID=8YFLogxK
U2 - 10.1016/j.jhealeco.2019.102257
DO - 10.1016/j.jhealeco.2019.102257
M3 - Article
C2 - 31923782
AN - SCOPUS:85077386494
VL - 70
JO - Journal of Health Economics
JF - Journal of Health Economics
SN - 0167-6296
M1 - 102257
ER -