全球智库信息集成服务系统(G2TT): Employer Neighborhoods and Racial Discrimination

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w28153
来源ID	Working Paper 28153
	Employer Neighborhoods and Racial Discrimination
	Amanda Y. Agan; Sonja B. Starr
发表日期	2020-11-30
出版年	2020
语种	英语
摘要	Using a large field experiment, we show that racial composition of employer neighborhoods predicts employment discrimination patterns in a direction suggesting in-group bias. Our data also show racial disparities in the geographic distribution of job postings. Simulations illustrate how these patterns combine to shape disparities. When jobs are located far from Black neighborhoods, Black applicants are doubly disadvantaged: discrimination patterns disfavor them, and they have fewer nearby opportunities. Finally, building on prior work on Ban-the-Box laws, we show that employers in less Black neighborhoods appear much likelier to stereotype Black applicants as potentially criminal when they lack criminal record information.
主题	Labor Economics ; Labor Supply and Demand ; Labor Discrimination ; Regional and Urban Economics
URL	https://www.nber.org/papers/w28153
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/585827
推荐引用方式 GB/T 7714	Amanda Y. Agan,Sonja B. Starr. Employer Neighborhoods and Racial Discrimination. 2020.