全球智库信息集成服务系统(G2TT): Air Pollution and Student Performance in the U.S.

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w30061
来源ID	Working Paper 30061
	Air Pollution and Student Performance in the U.S.
	Michael Gilraine; Angela Zheng
发表日期	2022-05-23
出版年	2022
语种	英语
摘要	We combine satellite-based pollution data and test scores from over 10,000 U.S. school districts to estimate the relationship between air pollution and test scores. To deal with potential endogeneity we instrument for air quality using (i) year-to-year coal production variation and (ii) a shift-share instrument that interacts fuel shares used for nearby power production with national growth rates. We find that each one-unit increase in particulate pollution reduces test scores by 0.02 standard deviations. Our findings indicate that declines in particulate pollution exposure raised test scores and reduced the black-white test score gap by 0.06 and 0.01 standard deviations, respectively.
主题	Health, Education, and Welfare ; Health ; Education ; Environmental and Resource Economics ; Environment
URL	https://www.nber.org/papers/w30061
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/587735
推荐引用方式 GB/T 7714	Michael Gilraine,Angela Zheng. Air Pollution and Student Performance in the U.S.. 2022.