five

Data, Code, and Algorithm for: "How Do You Say Your Name? Difficult-To-Pronounce Names and Labor Market Outcomes"

收藏
ICPSR2024-01-01 更新2026-04-16 收录
下载链接:
https://www.openicpsr.org/openicpsr/project/188001/version/V1/view?path=/openicpsr/188001/fcr:versions/V1/AEJ_Final_Replication_Files/data&type=folder
下载链接
链接失效反馈
官方服务:
资源简介:
We test for labor market discrimination based on an understudied characteristic: name fluency. Analysis of recent economics PhD job candidates indicates that name difficulty is negatively related to the probability of landing an academic or tenure track position and research productivity of initial institutional placement. Discrimination due to name fluency is also found using experimental data from prior audit studies. Within samples of African-Americans (Bertrand and Mullainathan 2004) and ethnic immigrants (Oreopoulos 2011), job applicants with less fluent names experience lower callback rates, and name complexity explains roughly between 10 and 50 percent of ethnic name penalties. The results are primarily driven by candidates with weaker resumes, suggesting that cognitive biases may contribute to the penalty of having a difficult-to-pronounce name.
提供机构:
Hamilton College; Vassar College
创建时间:
2024-01-01
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作