The height premium: a literature review and meta-analysis

Chloe Puett, Jere Behrman, Clint Pecenka, Christopher Sudfeld
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Abstract

The association between adult height and labor-market wages, or the “height premium” (HP), is an important input for quantifying potential economic benefits of nutritional interventions promoting growth. A large economics literature has evaluated this association; however, HP estimates differ greatly depending on the study populations and statistical methodologies used. We conducted a meta-analysis of HP estimates to describe the differences in estimates with different statistical methodologies and to examine potential effect modification of the HP by sex and country income category. We performed meta-analyses for studies using instrumental variables (IV) and ordinary least squares (OLS) methods, separately. OLS estimates were separated into those that were “low-adjusted” for confounding variables and “high-adjusted” for at least one common mediator variable, specifically cognition or schooling. Overall, in a total of 12 studies, the pooled estimates for IV studies indicated that each centimeter increase in height was associated with 3.58% greater wages (95% CI: 1.62-5.54%; I2=97.5%, p<0.001)). In the 24 total OLS studies, low-adjusted estimates indicated an HP of 1.06% (95% CI: 0.85-1.28%, I2=95.5%, p<0.001), while for high-adjusted estimates the HP was only 0.57% (95% CI: 0.41-0.73%, I2=95.8%, p<0.001). Further, the meta-analysis found evidence of effect modification by sex in OLS estimates but not IV, and for both IV and OLS for country income category. Overall, the literature suggests a robust association between adult height and wages; however, the magnitude of the estimate appears to be dependent on statistical methods and covariates selected for multivariable models. Our findings also suggest there may be differences by sex and country income category. Additional analyses are needed taking into account a causal inference framework and, if adult height is being used to capture the cumulative effect on wages of nutritional exposures from conception through adulthood, studies should not adjust for potential mediators including cognition and schooling.
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身高溢价:文献回顾和荟萃分析
成人身高与劳动力市场工资之间的关系,或“身高溢价”(HP),是量化营养干预促进生长的潜在经济效益的重要输入。大量经济学文献对这种关联进行了评估;然而,根据研究人群和所使用的统计方法的不同,HP估计值差异很大。我们对HP估计值进行了荟萃分析,以描述不同统计方法估计值之间的差异,并检查按性别和国家收入类别调整HP的潜在影响。我们分别使用工具变量(IV)和普通最小二乘(OLS)方法对研究进行了meta分析。OLS估计被分为混合变量的“低调整”和至少一个常见中介变量的“高调整”,特别是认知或学校教育。总的来说,在总共12项研究中,IV研究的汇总估计表明,身高每增加一厘米,工资就会增加3.58% (95% CI: 1.62-5.54%;I2 = 97.5%,术中;0.001))。在总共24项OLS研究中,低校正估计值显示HP为1.06% (95% CI: 0.85-1.28%, I2=95.5%, p<0.001),而高校正估计值显示HP仅为0.57% (95% CI: 0.41-0.73%, I2=95.8%, p<0.001)。此外,荟萃分析发现,在OLS估计中存在按性别改变效果的证据,但在IV中没有,在IV和OLS中都存在国家收入类别的证据。总的来说,文献表明成年人的身高和工资之间有很强的联系;然而,估计的幅度似乎取决于多变量模型中选择的统计方法和协变量。我们的研究结果还表明,性别和国家收入类别可能存在差异。考虑到因果推理框架,需要进行额外的分析,如果使用成人身高来捕捉从怀孕到成年的营养暴露对工资的累积影响,研究不应调整包括认知和学校教育在内的潜在中介因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gates Open Research
Gates Open Research Immunology and Microbiology-Immunology and Microbiology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
90
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