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One of the most robust findings in health economics is that higher-educated individuals tend to be in better health. This paper tests whether health disparities across education are to some extent due to differences in reporting error across education. We test this hypothesis using data from the pooled National Health and Nutrition Examination Survey (NHANES) Continuous for 1999-2012, which include both self-reports and objective verification for an extensive set of health behaviors and conditions, including smoking, obesity, high blood pressure, high cholesterol and diabetes. We find that better educated individuals report their health more accurately. This is true for a wide range of behaviors and conditions, even socially stigmatized ones like smoking and obesity. Differential reporting error across education leads to underestimates of the true health disparities across education that average 19.3%.
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This study comprehensively examines whether medical marijuana laws (MMLs) have affected the trajectory of a decades-long decline in adult tobacco use in the United States. Using data from three large national datasets -- the Behavioral Risk Factor Surveillance Survey (BRFSS), the Current Population Survey Tobacco Use Supplements (CPS-TUS), and the National Survey of Drug Use and Health (NSDUH) -- we estimate the relationship between MMLs and cigarette consumption. Our results show that the enactment of MMLs between 1990 and 2012 are associated with a 0.3 to 0.7 percentage-point reduction in tobacco consumption among US adults, though this estimate is somewhat sensitive to controls for state-specific linear time trends. These findings suggest that tobacco and marijuana are substitutes for many users. However, this average response masks heterogeneity in the effects of MMLs among early versus late-adopting states and across the age distribution.
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One of the most robust findings in health economics is that higher-educated individuals tend to be in better health. This paper tests whether health disparities across education are to some extent due to differences in reporting error across education. We test this hypothesis using data from the pooled National Health and Nutrition Examination Survey (NHANES) Continuous for 1999-2012, which include both self-reports and objective verification for an extensive set of health behaviors and conditions, including smoking, obesity, high blood pressure, high cholesterol and diabetes. We find that college graduates are more likely to give false negative reports of obesity and high total cholesterol; one possible explanation for this is social desirability bias. However, college graduates are also significantly less likely to give false positive reports of smoking, obesity, high cholesterol, and diabetes. Because there are far more truly negative people (who are less likely to give a false positive report) than truly positive people (who are more likely to give a false negative report), we find that college graduates report their health significantly more accurately overall.
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