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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Book
Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Book
Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Year: 2012 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Year: 2012 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Year: 2014 Publisher: National Bureau of Economic Research
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Year: 2013 Publisher: National Bureau of Economic Research
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Year: 2012 Publisher: Cambridge, Mass. National Bureau of Economic Research
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This paper uses recently released data from a national longitudinal sample to present new evidence of the longer term effects of adolescent depression on labor market outcomes. Results suggest reductions in labor force attachment of approximately 5 percentage points and earnings reductions of approximately 20% for individuals with depressive symptoms as an adolescent. These effects are only partially reduced when controlling for channels operating through educational attainment, adult depressive symptoms, or co-occurring illnesses. Further, the unique structure of the data allows for high-school fixed effects as well as suggestive evidence using sibling comparisons, which allows controls for potentially important unobserved heterogeneity. Overall, the results suggest that the links between adolescent depression and labor market outcomes are quite robust and important in magnitude, suggesting that there may be substantial labor market returns to further investments in treatment opportunities during adolescence.
Digital
Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research
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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.
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