全球智库信息集成服务系统(G2TT): DP13725 Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures Neighbor Effects

G2TT

来源类型	Discussion paper
规范类型	论文
来源ID	DP13725
	DP13725 Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures Neighbor Effects
	John List; Fatemeh Momeni; Yves Zenou
发表日期	2019-05-10
出版年	2019
语种	英语
摘要	We estimate the direct and spillover effects of a large-scale early childhood intervention on the educational attainment of over 2,000 disadvantaged children in the United States. We show that failing to account for spillover effects results in a severe underestimation of the impact. The intervention induced positive direct effects on test scores of children assigned to the treatment groups. We document large spillover effects on both treatment and control children who live near treated children. On average, spillover effects increase a child's non-cognitive (cognitive) scores by about 1.2 (0.6 to 0.7) standard deviations. The spillover effects are localized, decreasing with the spatial distance to treated neighbors. Our evidence suggests the spillover effect on non-cognitive scores are likely to operate through the child's social network. Alternatively, parental investment is an important channel through which cognitive spillover effects operate. We view our results as speaking to several literatures, perhaps most importantly the role of public programs and neighborhoods on human capital formation at an early age.
主题	Labour Economics ; Public Economics
关键词	Early education Neighborhood Field experiment Spillover effects Non-cognitive skills
URL	https://cepr.org/publications/dp13725
来源智库	Centre for Economic Policy Research (United Kingdom)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/542588
推荐引用方式 GB/T 7714	John List,Fatemeh Momeni,Yves Zenou. DP13725 Are Estimates of Early Education Programs Too Pessimistic? Evidence from a Large-Scale Field Experiment that Causally Measures Neighbor Effects. 2019.