Spillover Effects of Early-Life Medical Interventions
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Spillover Effects of Early-Life Medical Interventions. / Daysal, N. Meltem; Simonsen, Marianne; Trandafir, Mircea; Breining, Sanni.
I: The Review of Economics and Statistics, Bind 104, Nr. 1, 2021, s. 1-16.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Spillover Effects of Early-Life Medical Interventions
AU - Daysal, N. Meltem
AU - Simonsen, Marianne
AU - Trandafir, Mircea
AU - Breining, Sanni
PY - 2021
Y1 - 2021
N2 - We investigate the effects of early-life medical treatments on the treated children and their families. We use a regression discontinuity design that exploits changes in medical treatments across the very low birth weight (VLBW) cutoff. Using administrative data from Denmark, we establish that VLBW children have better health and higher test scores. We find that these benefits spill over to other family members: mothers enjoy better mental health and siblings have higher test scores. Maternal mental health improvements seem to be driven by better focal child health, and sibling spillovers by improved interactions within the family and parental compensating behavior.
AB - We investigate the effects of early-life medical treatments on the treated children and their families. We use a regression discontinuity design that exploits changes in medical treatments across the very low birth weight (VLBW) cutoff. Using administrative data from Denmark, we establish that VLBW children have better health and higher test scores. We find that these benefits spill over to other family members: mothers enjoy better mental health and siblings have higher test scores. Maternal mental health improvements seem to be driven by better focal child health, and sibling spillovers by improved interactions within the family and parental compensating behavior.
U2 - 10.1162/rest_a_00982
DO - 10.1162/rest_a_00982
M3 - Journal article
VL - 104
SP - 1
EP - 16
JO - Review of Economics and Statistics
JF - Review of Economics and Statistics
SN - 0034-6535
IS - 1
ER -
ID: 256519943