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Soft drink consumption has been hypothesized as one of the major factors in the growing rates of obesity in the US. Nearly two-thirds of all states currently tax soft drinks using excise taxes, sales taxes, or special exemptions to food exemptions from sales taxes to reduce consumption of this product, raise revenue, and improve public health. In this paper, we evaluate the impact of changes in state soft drink taxes on body mass index (BMI), obesity, and overweight. Our results suggest that soft drink taxes influence BMI, but that the impact is small in magnitude.

One of the largest drivers of the current obesity epidemic is thought to be excessive consumption of sugar-sweetened beverages. Some have proposed vending machine restrictions and taxing soft drinks to curb children's consumption of soft drinks; to a large extent, these policies have not been evaluated empirically. We examine these policies using two nationally representative data sets and find no evidence that, as currently practiced, either is effective at reducing children's weight. We conclude by outlining changes that may increase their effectiveness, such as implementing comprehensive restrictions on access to soft drinks in schools and imposing higher tax rates than are currently in place in many jurisdictions.

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We investigate how risky health behaviors and self-reported health vary with the Dow Jones Industrial Average (DJIA) and during stock market crashes. Because stock market indices are leading indicators of economic performance, this research contributes to our understanding of the macroeconomic determinants of health. Existing studies typically rely on the unemployment rate to proxy for economic performance, but this measure captures only one of many channels through which the economic environment may influence individual health decisions. We find that large, negative monthly DJIA returns, decreases in the level of the DJIA, and stock market crashes are widely associated with worsening self-reported mental health and more cigarette smoking, binge drinking, and fatal car accidents involving alcohol. These results are consistent with predictions from rational addiction models and have implications for research on the association between consumption and stock prices.

The potential health impacts of imposing large taxes on soda to reduce the incidence of obesity have been of interest for over a decade. While estimates of the effects of existing soda taxes with low rates suggest little impact, recent proposals suggest that large taxes may be effective in reducing weight because of non-linear consumption responses or threshold effects. This paper tests this hypothesis in two ways. First, we estimate non-linear effects of taxes using the range of current rates. Second, we leverage the sudden, relatively large soda tax increase in two states during the early 1990s combined with new synthetic control methods useful for comparative case studies. Our findings suggest virtually no evidence of non-linear or threshold effects.

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This paper investigates to what extent and in what ways conditions related to the 2007-2008 recession reduced fatal crashes. It hypothesizes that the reduction in fatal automobile accidents operates through both the quantity of driving and changes in behaviors associated with driving. Using state-by-quarter fixed effects models, the study shows that unemployment rate increases significantly reduce fatal accidents. Decomposing the fatal accident rate into accidents per mile traveled and miles traveled per capita reveals that higher unemployment is significantly associated with fewer accidents per mile, and also reveals that fatal accidents associated with alcohol are more responsive to unemployment rate changes than are accidents overall. These results suggest that the recession’s “lost” fatal accidents occurred in areas hit harder by the recession and were in the form of fewer alcohol-related accidents per mile traveled rather than fewer miles traveled overall.