School of Public Administration and Policy, Renmin University of China, Beijing, China.
Center for Health Policy Research and Evaluation, Renmin University of China, Beijing, China.
PLoS One. 2020 Apr 10;15(4):e0230555. doi: 10.1371/journal.pone.0230555. eCollection 2020.
This study uses a Mendelian randomization approach to resolve the difficulties of identifying the causal relationship between height and earnings by using a unique sample of 3,427 respondents from mainland China with sociodemographic information linked to individual genotyping data. Exploiting genetic variations to create instrumental variables for observed height, we find that while OLS regressions yield that an additional centimeter in height is associated with a 10-13% increase in one's annual earnings, IV estimates reveal only an insubstantial causal effect of height. Further analyses suggest that the observed height premium is likely to pick up the impacts of several cognitive/noncognitive skills on earnings confounded in previous studies, such as mental health, risk preference, and personality factors. Our study is the first empirical study that employs genetic IVs in developing countries, and our results contribute to the recent debate on the mechanism of height premium.
本研究使用孟德尔随机化方法,通过利用一个独特的、具有社会人口统计学信息与个体基因分型数据相链接的 3427 名中国大陆受访者的样本,解决了身高与收入之间因果关系难以确定的问题。我们利用遗传变异来创建观察到的身高的工具变量,发现虽然 OLS 回归表明身高每增加 1 厘米,年收入就会增加 10-13%,但 IV 估计结果仅显示身高对收入的因果效应微不足道。进一步的分析表明,观察到的身高溢价可能会受到之前研究中混淆的几个认知/非认知技能对收入的影响,如心理健康、风险偏好和人格因素。我们的研究是第一个在发展中国家使用遗传工具变量的实证研究,我们的研究结果为最近关于身高溢价机制的争论做出了贡献。