Mental Health, Schooling, and Labor Market Outcomes - Farahati, Farah;Wilcox-Gok, Virginia
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This study explores the life-cycle relationships between poor mental health and human capital formation for men and women. It tests the hypothesis that parental mental disorder and an adolescent mental disorder during schooling years increase the probability of that individual's dropping out of high school. This study also tests the related hypothesis that current and lifetime mental disorders decrease the probability of his/her labor force participation as well as his/her annual income. The findings from the first part of this study indicate that the probability of dropping out of high school…mehr

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Produktbeschreibung
This study explores the life-cycle relationships between poor mental health and human capital formation for men and women. It tests the hypothesis that parental mental disorder and an adolescent mental disorder during schooling years increase the probability of that individual's dropping out of high school. This study also tests the related hypothesis that current and lifetime mental disorders decrease the probability of his/her labor force participation as well as his/her annual income. The findings from the first part of this study indicate that the probability of dropping out of high school is significantly higher for both girls and boys with parents who suffer from depression, generalized anxiety, and alcohol and drug dependence/abuse compared to those with parents without these disorders. The results from the second part of this study indicate that an early onset (during schooling years) of anxiety, alcohol dependence and conduct disorders significantly increase the probability of dropping out of high school for boys and girls.
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Autorenporträt
Dr. Farahati received her Ph.D. in Applied Economics from Northern Illinois University in 2001. As a population health economist with over 15 years of research experience in both the U.S. and Canadian health care systems, she has taken scientific responsibility in designing, and developing health economics models to support decision makers.