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Genetic information, obesity, and labor market outcomes.

机译:遗传信息,肥胖症和劳动力市场结果。

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Economists have argued that obesity may lead to worse labor market outcomes, especially for women. Empirical methods to test this hypothesis have not thus far adequately controlled for the endogeneity of obesity. We use variation in genotype to predict variation in phenotype (obesity). Genetic information from specific genes linked to obesity in the biomedical literature provides strong exogenous variation in the body mass index and thus can be used as instrumental variables. These genes predict swings in weight of between 5 and 20 pounds for persons between five and six feet tall. We use additional genetic information to control for omitted variables correlated with both obesity and labor market outcomes. We analyzed data from the third wave of the Add Health data set, when respondents are in their mid-twenties. Results from our preferred models show no effect of lagged obesity on the probability of employment or on wages, for either men or women. This paper shows the potential of using genetic information in social sciences.
机译:经济学家认为,肥胖症可能导致劳动力市场状况恶化,尤其是对女性而言。迄今为止,尚无足够的方法来检验这一假设,以控制肥胖症的内生性。我们使用基因型变异来预测表型变异(肥胖症)。生物医学文献中与肥胖症相关的特定基因的遗传信息在体重指数方面提供了强大的外源性变化,因此可以用作工具变量。这些基因预测身高五到六英尺的人的体重波动在5到20磅之间。我们使用其他遗传信息来控制与肥胖症和劳动力市场结果相关的遗漏变量。当受访者二十多岁时,我们分析了第三次“添加健康”数据集的数据。我们的首选模型的结果表明,无论对于男性还是女性,滞后肥胖对就业概率或工资均无影响。本文显示了在社会科学中使用遗传信息的潜力。

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