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How Smoking, Drugs, and Obesity Affect Education, Using Genes as Instruments

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... This research is based on genetic and survey data collected as part of the National Longitudinal Study of Adolescent Health (Add Health). The study was initially designed to explore the health-related behavior of adolescents in grades 7 through 12, but it has been employed widely across disciplines and has made recent contributions in economics (Echenique, Fryer and Kaufman 2006, Echenique and Fryer 2007, Alcott, Karlan, Mobius, Rosenblat and Szeidl 2007, Norton and Han 2009). In the first wave of the Add Health study (1994) (1995) 80 high schools were selected from a sampling frame of 26,666 based on their size, school type, census region, level of urbanization, and percent of the population that was white. ...
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We explore the influence of genetic variation on subjective well-being by employing a twin design and genetic association study. In a nationally-representative twin sample, we first show that about 33% of the variation in life satisfaction is explained by genetic variation. Although previous studies have shown that baseline happiness is significantly heritable, little research has considered molecular genetic associations with subjective well-being. We study the relationship between a functional polymorphism on the serotonin transporter gene (5-HTTLPR) and life satisfaction. We initially find that individuals with the longer, transcriptionally more efficient variant of this genotype report greater life satisfaction (n=2,545, p=0.012). However, our replication attempts on independent samples produce mixed results indicating that more work needs to be done to better understand the relationship between this genotype and subjective well-being. This work has implications for how economists think about the determinants of utility, and the extent to which exogenous shocks might affect individual well-being.
... This research is based on genetic and survey data collected as part of the National Longitudinal Study of Adolescent Health (Add Health). The study was designed to explore the health-related behavior of adolescents in grades 7 through 12, but it has been employed widely across disciplines and has made recent contributions in economics (Echenique, Fryer and Kaufman 2006, Echenique and Fryer 2007, Alcott, Karlan, Mobius, Rosenblat and Szeidl 2007, Norton and Han 2009). In the first wave of the Add Health study (1994) (1995) 80 high schools were selected from a sampling frame of 26,666. ...
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Research on happiness has produced valuable insights into the sources of subjective well-being. A major finding from this literature is that people exhibit a 'baseline' happiness that shows persistent strength over time, and twin studies have shown that genes play a significant role in explaining the variance of baseline happiness between individuals. However, these studies have not identified which genes might be involved. This article presents evidence of a specific gene that predicts subjective well-being. Using data from the National Longitudinal Study of Adolescent Health, we show that individuals with a transcriptionally more efficient version of the serotonin transporter gene (5HTT) are significantly more likely to report higher levels of life satisfaction. Having one or two alleles of the more efficient type raises the average likelihood of being very satisfied with one's life by 8.5% and 17.3%, respectively. This result may help to explain the stable component of happiness and suggests that genetic association studies can help us to better understand individual heterogeneity in subjective well- being.
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The prevalence of marijuana use among young people has risen rapidly in recent years, causing concern over the potential impact on academic performance of such use. While recent studies have examined the effect of alcohol use on educational attainment, they have largely ignored the potential negative effects of other substances, such as marijuana. This paper examines whether the relationship between the initiation of marijuana use and the decision to drop out of high school varies with the age of dropout or with multiple substance use. Data are from a longitudinal survey of 1392 adolescents aged 16-18 years. The results suggest that marijuana initiation is positively related to dropping out of high school. Although the magnitude and significance of this relationship varies with age of dropout and with other substances used, it is concluded that the effect of marijuana initiation on the probability of subsequent high school dropout is relatively stable, with marijuana users' odds of dropping out being about 2.3 times that of non-users. Implications of these conclusions are considered for both policy makers and researchers.
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This paper uses data from the National Education Longitudinal Study to estimate the association between illicit drug use during high school and the number of years of schooling completed. The analysis accounts for the possibility that drug use is endogenous using two methods: (1) by controlling for individual-level characteristics measured before high school entrance; and (2) by using an instrumental variables method, with state drug policies and 8th grade school characteristics as identifying variables. Findings suggest that marijuana use and cocaine use in high school are associated with reductions in the number of years of schooling completed.
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In this article we report a novel statistically significant association between the D4.7/D4.7 genotype of the DRD4 gene and the body mass of black and Hispanic participants in the National Longitudinal Study of Adolescent Health (Add Health). We investigated the role of the 48-bp repeat polymorphism of the dopamine receptor 4 gene (DRD4) in body mass regulation in 2,277 adolescents and young adults followed in 1995 (12-18 years old), 1996, and 2002 by Add Health. After the effects of age, sex, and ethnicity were adjusted, the D4.7/D4.7 genotype reduced the body mass index (BMI)-percentile score by 15 and 12.5, as compared to those with other genotypes, for African-Americans (P = 0.0047) and Hispanic-Americans (P = 0.037), respectively. Although the D4.7/D4.7 genotype was associated with a lower BMI-percentile score in white individuals compared to other genotypes, the difference was not significant. Individuals heterozygous for D4.7 did not differ from those with the other/other genotype.
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We use the Vietnam war draft avoidance behavior documented by Card and Lemieux [Card, D., Lemieux, T., May 2001. Did draft avoidance raise college attendance during the Vietnam war? American Economic Review 91 (2), 97-102] as a quasi experiment to infer causation from education to smoking and find strong evidence that education, whether measured in years of completed schooling or in educational attainment categories, reduces the probability of smoking at the time of the interview, more particularly the probability of smoking regularly. However, while we find that more education substantially increases the probability of never smoking, our instrumental procedure yields imprecise estimates of the effect of education on smoking cessation. Potential mechanisms linking education and smoking are also explored.
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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.
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This article measures the effects of college drinking on study hours, grade point average (GPA), and major choice using simultaneous equation models and data from the 1993 College Alcohol Study. Binging and intoxication decrease GPA directly and indirectly by reducing study hours. Greater frequency of drinking increases the effect on study hours but not the total effect on GPA. College drinking increases the probability of choosing a business major but decreases the probability of choosing engineering. Simulations show that the effects of heavy drinking on GPA and major choice reduce future weekly earnings by between 0.3 and 9.8%. Copyright 2002, Oxford University Press.
Article
This article examines the relationship between youthful drinking and educational attainment using data on same-sex siblings pairs from the 1979-90 panels of the National Longitudinal Survey of Youth. We consider different estimators that can be constructed using siblings data, including estimators that adopt key restrictions of the standard regression, family fixed effect, and instrumental variable approaches. We also consider the properties of these estimators under more general conditions and show that under very plausible assumptions the effect of drinking on schooling can be bounded. The study finds that estimates of the schooling consequences of youthful drinking are very sensitive to specification issues. The research concludes that the actual effects of youthful drinking on education are likely to be small. Copyright 2001 by Oxford University Press.
Article
This paper presents an exploratory analysis using NLSY97 data of the relationship between the likelihood of school continuation and the choices of whether to smoke or drink. We demonstrate that in the United States as of the late 1990s, smoking in 11th grade was a uniquely powerful predictor of whether the student finished high school, and if so whether the student matriculated in a four-year college. For economists the likely explanation for this empirical link would be based on interpersonal differences in time preference, but that account is called in question by our second finding -- that drinking does not predict school continuation. We speculate that the demand for tobacco by high school students is influenced by the signal conveyed by smoking (of being off track in school), one that is especially powerful for high-aptitude students. To further develop this view, we present estimates of the likelihood of smoking as a function of school commitment and other, more traditional variables. There are no direct implications from this analysis for whether smoking is in some sense a cause of school dropout. We offer some speculations on this matter in the conclusion.
Analysis of Prevention Program Effectiveness with Clustered Data Using Generalized Estimating Equations Genetic Information, Obesity, and Labor market outcomes Does marijuana use impair human capital formation
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Johnston LD, O'Malley PM, Bachman JG. Ecstasy use among American teens drops for the first time in recent years, and overall drug and alcohol use also decline in the year after 9/11. University of Michigan News and Information Services: Ann Arbor, MI, 16 December 2002 [On-line]. Available: www.monitoringthefuture. org, accessed 9/30/03.