| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23811 |
| 来源ID | Working Paper 23811 |
| Complementary Bias: A Model of Two-Sided Statistical Discrimination | |
| Ashley C. Craig; Roland G. Fryer, Jr | |
| 发表日期 | 2017-09-18 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | We introduce a model of two-sided statistical discrimination in which worker and firm beliefs are complementary. Firms try to infer whether workers have made investments required for them to be productive, and simultaneously, workers try to deduce whether firms have made investments necessary for them to thrive. When multiple equilibria exist, group differences can be generated and sustained by either side of the interaction – workers or firms. Strategic complementarity complicates both empirical analysis designed to detect discrimination and policy meant to alleviate it. Affirmative action is much less effective than in traditional statistical discrimination models. More generally, we demonstrate the futility of one-sided policies to correct gender and racial disparities. We analyze a two-sided version of “investment insurance” – a policy in which the government (after observing a noisy version of the employer’s signal) offers to hire any worker who it believes to be qualified and whom the employer does not offer a job – and show that in our model it (weakly) dominates any alternative. The paper concludes by proposing a way to identify statistical discrimination when beliefs are complements. |
| 主题 | Microeconomics ; Households and Firms ; Labor Economics ; Demography and Aging ; Labor Supply and Demand ; Labor Discrimination |
| URL | https://www.nber.org/papers/w23811 |
| 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/581485 |
| 推荐引用方式 GB/T 7714 | Ashley C. Craig,Roland G. Fryer, Jr. Complementary Bias: A Model of Two-Sided Statistical Discrimination. 2017. |
| 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 | ||
| w23811.pdf（584KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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