| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27068 |
| 来源ID | Working Paper 27068 |
| Asian American Discrimination in Harvard Admissions | |
| Peter Arcidiacono; Josh Kinsler; Tyler Ransom | |
| 发表日期 | 2020-04-27 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | Detecting racial discrimination using observational data is challenging because of the presence of unobservables that may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting where this concern is mitigated. Namely, we show that there is a substantial penalty against Asian Americans in admissions with limited scope for omitted variables to overturn the result. This is because (i) Asian Americans are substantially stronger than whites on the observables associated with admissions and (ii) the richness of the data yields a model that predicts admissions extremely well. Our preferred model shows that Asian Americans would be admitted at a rate 19% higher absent this penalty. Controlling for one of the primary channels through which Asian American applicants are discriminated against--the personal rating--cuts the Asian American penalty by less than half, still leaving a substantial penalty. |
| 主题 | Health, Education, and Welfare ; Education ; Labor Economics ; Demography and Aging |
| URL | https://www.nber.org/papers/w27068 |
| 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/584740 |
| 推荐引用方式 GB/T 7714 | Peter Arcidiacono,Josh Kinsler,Tyler Ransom. Asian American Discrimination in Harvard Admissions. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w27068.pdf（493KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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