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


Jason M. Fletcher


Yale University - School of Public Health

Steven F. Lehrer


Queen's University - School of Policy Studies; National Bureau of Economic Research (NBER)

July 2009

NBER Working Paper No. w15148

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.

Number of Pages in PDF File: 51

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Date posted: July 21, 2009  

Suggested Citation

Fletcher, Jason M. and Lehrer, Steven F., Using Genetic Lotteries within Families to Examine the Causal Impact of Poor Health on Academic Achievement (July 2009). NBER Working Paper No. w15148. Available at SSRN: http://ssrn.com/abstract=1434663

Contact Information

Jason M. Fletcher
Yale University - School of Public Health ( email )
PO Box 208034
60 College Street
New Haven, CT 06520-8034
United States
Steven F. Lehrer (Contact Author)
Queen's University (Canada) - School of Policy Studies ( email )
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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