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2009 (13)

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Estimating Causal Effects of Early Occupational Choice on Later Health: Evidence Using the PSID
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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Using Genetic Lotteries within Families to Examine the Causal Impact of Poor Health on Academic Achievement
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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Tobacco Use, Taxation and Self Control in Adolescence
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Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research

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


Digital
Estimating Causal Effects of Early Occupational Choice on Later Health: Evidence Using the PSID
Authors: ---
Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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In this paper, we provide some of the first empirical evidence of whether early occupational choices are associated with lasting effects on health status, affecting individuals as they age. We take advantage of data on occupational histories available in the Panel Study of Income Dynamics (PSID) to examine this issue. To the PSID data, we merge historical Census data that reflect the labor market conditions when each individual in the PSID made his first occupational choice. These data on labor market conditions (e.g. state-level share of blue collar workers) allow us to instrument for occupational choice in order to alleviate endogeneity bias. We use parental occupation as additional instruments. Since our instruments may have indirect effects on later health, we also control for respondent's pre-labor market health, education and several family and state background characteristics in order to make the instruments more plausibly excludable. We find substantial evidence that a blue collar occupation at labor force entry is associated with decrements to later health status, ceteris paribus. These health effects are larger after controlling for endogeneity and are similar across sets of instruments. We also find differences in the effects of occupation by gender, race, and age.


Digital
Cumulative Effects of Job Characteristics on Health
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Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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We examine whether the job characteristics of physical demands and environmental conditions affect individual’s health. Five-year cumulative measures of these job characteristics are used to reflect findings in the biologic and physiologic literature that indicate that cumulative exposure to hazards and stresses harms health. To create our analytic sample, we merge job characteristics from the Dictionary of Occupational Titles with the Panel Study of Income Dynamics dataset. We control for early and lagged health measures and a set of pre-determined characteristics to address concerns that individuals self-select into jobs. Our results indicate that individuals who work in jobs with the ‘worst’ conditions experience declines in their health, though this effect varies by demographic group. For example, for non-white men, a one standard deviation increase in cumulative physical demands decreases health by an amount that offsets an increase of two years of schooling or four years of aging. We also find evidence that job characteristics are more detrimental to the health of females and older workers. Finally, we report suggestive evidence that earned income, another job characteristic, partially cushions the health impact of physical demands and harsh environmental conditions for workers. These results are robust to inclusion of occupation fixed effects.


Digital
Tobacco Use, Taxation and Self Control in Adolescence
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Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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Recent literature has suggested that higher taxes on addictive goods could increase welfare by assisting individuals with self control problems and trouble resisting 'temptation’. In contrast, if individuals continue to use despite increased prices, taxation may serve to reduce the welfare of these individuals while providing no benefits in managing self control nor mitigating externalities. We use data on adolescents from the National Longitudinal Study of Adolescent Health (Add Health) to examine the impact of tobacco taxes on smoking. To account for unobserved heterogeneity in response to taxes we estimate finite mixture models, positing two types of individuals with differential responses to taxes. We find evidence of differential price elasticity for tobacco use across the adolescents groups, and show that individuals with low self control or high discount rates are largely unresponsive to cigarette price. Those who have the least willpower may need the most help in quitting but are unresponsive to taxes, suggesting that policies other than taxation may be needed to reduce adolescent tobacco use.


Digital
Job Loss: Eat, drink and try to be merry?
Authors: --- --- --- ---
Year: 2009 Publisher: Cambridge, Mass National Bureau of Economic Research

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This paper examines the impact of job loss from business closings on body mass index (BMI) and alcohol consumption. We improve upon extant literature by using: exogenously determined business closings, a sophisticated estimation approach (finite mixture models) to deal with complex heterogeneity, and national, longitudinal data (Health and Retirement Study). For both alcohol consumption and BMI, we find evidence that individuals who are more likely to respond to job loss by increasing unhealthy behaviors are already in the problematic range for these behaviors before losing their jobs. Thus health effects of job loss could be concentrated among “at risk” individuals.


Book
Using Genetic Lotteries within Families to Examine the Causal Impact of Poor Health on Academic Achievement
Authors: --- ---
Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research

Loading...
Export citation

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Bookmark

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.

Keywords


Book
Cumulative Effects of Job Characteristics on Health
Authors: --- --- ---
Year: 2009 Publisher: Cambridge, Mass. National Bureau of Economic Research

Loading...
Export citation

Choose an application

Bookmark

Abstract

We examine whether the job characteristics of physical demands and environmental conditions affect individual's health. Five-year cumulative measures of these job characteristics are used to reflect findings in the biologic and physiologic literature that indicate that cumulative exposure to hazards and stresses harms health. To create our analytic sample, we merge job characteristics from the Dictionary of Occupational Titles with the Panel Study of Income Dynamics dataset. We control for early and lagged health measures and a set of pre-determined characteristics to address concerns that individuals self-select into jobs. Our results indicate that individuals who work in jobs with the 'worst' conditions experience declines in their health, though this effect varies by demographic group. For example, for non-white men, a one standard deviation increase in cumulative physical demands decreases health by an amount that offsets an increase of two years of schooling or four years of aging. We also find evidence that job characteristics are more detrimental to the health of females and older workers. Finally, we report suggestive evidence that earned income, another job characteristic, partially cushions the health impact of physical demands and harsh environmental conditions for workers. These results are robust to inclusion of occupation fixed effects.

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