The effects of excise taxes and regulations on cigarette smoking☆
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Bittersweet: How prices of sugar-rich foods contribute to the diet-related disease epidemic in Mexico
2021, Journal of Health EconomicsCitation Excerpt :It does show, however, that lower relative prices of foods rich in specific ingredients such as sugar lead to a diet that might be. This empirical finding that price changes of FRIS, in particular, alter health outcomes contributes to current debates on how to best design price-based policies to influence dietary patterns and health (Adda and Cornaglia, 2006; Batis et al., 2016; Cawley et al., 2019b; Evans and Ringel, 1999; Fletcher et al., 2010; Mullainathan, 2005; Powell and Chaloupka, 2009; Wasserman et al., 1991). The findings in this study are particularly important in light of several countries considering taxes on unhealthy foods that are particularly rich in added sugars.
Estimating the impact of state cigarette tax rates on smoking behavior: Addressing endogeneity using a natural experiment
2021, Drug and Alcohol DependenceCitation Excerpt :For example, state cigarette taxes vary extensively within the U.S. and exposure to tax environments correlates with sociodemographic and economic factors (Golden et al., 2018) and residents’ attitudes toward tobacco control (Golden et al., 2014). These issues may result in biased estimates and reduce the ability to make strong causal inferences about how policies such as taxes influence use behavior (Guindon et al., 2018; Ruhm et al., 2012; Wasserman et al., 1991). Even longitudinal studies can be undermined with respect to causal inference if, for example, changes in attitudes toward smoking influence changes in policies and vice versa (Gilpin et al., 2004; Hamilton et al., 2008).
Smoking, health and academic outcomes: Evidence from a limited smoking campus policy
2019, Health Economics, Policy and Law
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Research for this paper was supported, in part, by the Pew Charitable Trusts. The authors wish to thank Michael Grossman and two anonymous referees for their helpful comments on an earlier version of the paper, Robert Bell for developing the software used to estimate the generalized linear model, Alicia Bell for her data management support, and Marlise Goodwin for her assistance in preparing the manuscript.