Using Genetic Lotteries Within Families to Examine the Causal Impact of Poor Health on Academic Achievement

Working Paper: NBER ID: w15148

Authors: Jason M. Fletcher; Steven F. Lehrer

Abstract: While there is a well-established, large positive correlation between mental and physical health and education outcomes, establishing a causal link remains a substantial challenge. Building on findings from the biomedical literature, we exploit specific differences in the genetic code between siblings within the same family to estimate the causal impact of several poor health conditions on academic outcomes. We present evidence of large impacts of poor mental health on academic achievement. Further, our estimates suggest that family fixed effects estimators by themselves cannot fully account for the endogeneity of poor health. Finally, our sensitivity analysis suggests that these differences in specific portions of the genetic code have good statistical properties and that our results are robust to reasonable violations of the exclusion restriction assumption.

Keywords: health; academic achievement; genetic lotteries; causal impact

JEL Codes: C33; I12; I21


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
poor mental health (I32)academic performance (D29)
genetic markers (C24)health outcomes (I14)
health outcomes (I14)academic achievement (I24)
poor health (I14)academic achievement (I24)
family fixed effects (J12)endogeneity of poor health (I12)

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