| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28503 |
| 来源ID | Working Paper 28503 |
| What Marginal Outcome Tests Can Tell Us About Racially Biased Decision-Making | |
| Peter Hull | |
| 发表日期 | 2021-03-01 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | Marginal outcome tests compare the expected effects of a decision on individuals who are of different races but at the same indifference point of the decision-maker. I present a simple formalization of how such tests can detect racial bias, defined as a deviation from accurate statistical discrimination. Namely, the tests can reject that the decision-maker ranks individuals according to some accurate prediction of a mandated outcome, given some unspecified race-inclusive information set. The frontier of marginal effects can furthermore rule out canonical taste-based discrimination. I relate this analysis to other interpretations of marginal outcome tests, other notions of racial discrimination, and recent identification strategies. |
| 主题 | Econometrics ; Estimation Methods ; Labor Economics ; Demography and Aging ; Labor Discrimination |
| URL | https://www.nber.org/papers/w28503 |
| 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/586175 |
| 推荐引用方式 GB/T 7714 | Peter Hull. What Marginal Outcome Tests Can Tell Us About Racially Biased Decision-Making. 2021. |
| 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 | ||
| w28503.pdf（370KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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