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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP13790 |
DP13790 Inaccurate Statistical Discrimination: An Identification Problem | |
Aislinn Bohren; Kareem Haggag; Alex Imas; Devin G. Pope | |
发表日期 | 2019-06-11 |
出版年 | 2019 |
语种 | 英语 |
摘要 | Discrimination---differential treatment by group identity---is widely studied in economics. Its source is often categorized as taste-based or statistical (belief-based)---a valuable distinction for policy design and welfare analysis. We argue that in many situations, individuals may have inaccurate beliefs about the relevant characteristics of different groups. This possibility creates an identification problem when isolating the source of discrimination. When not accounted for, we show both theoretically and experimentally that such inaccurate statistical discrimination will be misclassified as taste-based. A review of the empirical discrimination literature in economics reveals the scope of this issue: a small minority of papers---fewer than 7%---consider inaccurate beliefs. We then examine two alternative methodologies for differentiating between these three sources of discrimination---varying the amount of information presented to evaluators and eliciting evaluators' beliefs. We propose a possible intervention: when presented with accurate information, we show that inaccurate statistical discrimination decreases. |
主题 | Industrial Organization ; Labour Economics |
关键词 | Discrimination Inaccurate beliefs |
URL | https://cepr.org/publications/dp13790-0 |
来源智库 | Centre for Economic Policy Research (United Kingdom) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/542659 |
推荐引用方式 GB/T 7714 | Aislinn Bohren,Kareem Haggag,Alex Imas,et al. DP13790 Inaccurate Statistical Discrimination: An Identification Problem. 2019. |
条目包含的文件 | 条目无相关文件。 |
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