| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w23719 |
| 来源ID | Working Paper 23719 |
| Testing for Peer Effects Using Genetic Data | |
| John Cawley; Euna Han; Jiyoon (June) Kim; Edward C. Norton | |
| 发表日期 | 2017-08-21 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | Estimating peer effects is notoriously difficult because of the reflection problem and the endogeneity of peer group formation. This paper tests for peer effects in obesity in a novel way that addresses these challenges. It addresses the reflection problem by using the alter’s genetic risk score for obesity, which is a significant predictor of obesity, is determined prior to birth, and cannot be affected by the behavior of others. It addresses the endogeneity of peer group formation by examining peers who are not self-selected: full siblings. Using data from the National Longitudinal Survey of Adolescent Health, we find evidence of positive peer effects in weight and obesity; having a sibling with a high genetic predisposition raises one’s risk of obesity, even controlling for one’s own genetic predisposition to obesity. Implications of the findings include that peer effects may be an explanation for continued worldwide increases in weight, and that, because of social multipliers, the cost-effectiveness of obesity treatment and prevention programs may have been underestimated. |
| 主题 | Microeconomics ; Households and Firms ; Health, Education, and Welfare ; Health ; Labor Economics ; Demography and Aging ; Other ; Culture |
| URL | https://www.nber.org/papers/w23719 |
| 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/581390 |
| 推荐引用方式 GB/T 7714 | John Cawley,Euna Han,Jiyoon ,et al. Testing for Peer Effects Using Genetic Data. 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 | ||
| w23719.pdf（486KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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