2009
DOI: 10.1016/j.jhealeco.2008.11.006
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The impact of poor health on academic performance: New evidence using genetic markers

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Cited by 178 publications
(165 citation statements)
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“…Our results are consistent with other observational studies comparing the outcomes of depressed adolescents to non-depressed adolescents. Papers by Fletcher and Ding and colleagues (Ding et al 2009; Fletcher 2008), as well as earlier work (Berndt et al 2000) found that high school graduation rates and grades were lower for girls with depression compared to girls without, but they did not find similar results for boys. One piece of evidence that supports the notion that the FDA warnings were more important for girls than for boys is the evidence on suicides.…”
Section: Alternative Interpretation Of the Resultsmentioning
confidence: 86%
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“…Our results are consistent with other observational studies comparing the outcomes of depressed adolescents to non-depressed adolescents. Papers by Fletcher and Ding and colleagues (Ding et al 2009; Fletcher 2008), as well as earlier work (Berndt et al 2000) found that high school graduation rates and grades were lower for girls with depression compared to girls without, but they did not find similar results for boys. One piece of evidence that supports the notion that the FDA warnings were more important for girls than for boys is the evidence on suicides.…”
Section: Alternative Interpretation Of the Resultsmentioning
confidence: 86%
“…Another study uses genetic markers as identifying instruments for adolescent depression and finds a significant negative effect of depression on grade point average, but again these significant effects are only observed for girls (Ding et al 2009). This approach requires the assumption that the genetic marker relates only to depression, and not other unmeasured traits that could influence grade point averages.…”
Section: Empirical Methods and Datamentioning
confidence: 99%
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“…Here an additional variable (an "instrument") is used to replace the problematic independent variable with a proxy that is unrelated to both the unobserved factors that affect the outcome and the measurement error. A study from 2009 provides the first application of genetic markers in an instrumental variables application to identify causal estimates of how physical and mental health conditions in adolescence affect academic performance [4]. Thereby, the health variables are isolated from other explanatory factors such as nurture inputs, which in this case might include the neighborhood in which the families reside and the peers with which the adolescents associate.…”
Section: Genetic Factors Can Identify New Challenges and Diagnosesmentioning
confidence: 99%
“…However, a second strand of the literature examines the reverse relationship where the health status of individuals and health shocks impact school attainment (e.g. see Perri, 1984;Gomes-Neto, Hanushek, Leite and FrotaBezzera, 1997;Corman and Chaikind, 1998;Kaestner and Grossman, 2009;Ding, Lehrer, Rosenquist and Audrain-McGovern, 2009;Zhao and Glewwe, 2010). These studies measure health status in a variety of ways, by looking at for example nutrition, illnesses such as depression, obesity and birth-weight.…”
Section: Introductionmentioning
confidence: 99%