2019
DOI: 10.2139/ssrn.3328613
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Recreational Marijuana Laws and Junk Food Consumption: Evidence Using Border Analysis and Retail Sales Data

Abstract: We use retail scanner data on purchases of alcoholic beverages across US counties for 2006 to 2015 to study the link between medical marijuana laws (MMLs) and alcohol consumption. To do this, we exploit differences in the timing of marijuana laws among states and find that they are substitutes. We show that unlike traditional national-level analysis, focusing on contiguous-border county pairs provides unbiased estimates of the effect of MMLs on alcohol sales. Specifically, alcohol sales in counties located in … Show more

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Cited by 3 publications
(3 citation statements)
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“…Anderson et al conducted a study evaluating the impact of MMLs on traffic fatalities and alcohol use, and found that legalisation was associated with a decrease of 8–10% in alcohol involved traffic fatalities after the first full year the law came into effect (Anderson et al, 2013). Another study looked at border alcohol sales from retail scanner data in 38 contiguous counties in Washington, and found that legalisation was associated with a 12% reduction in alcohol sales (Baggio et al, 2018).…”
Section: Resultsmentioning
confidence: 99%
“…Anderson et al conducted a study evaluating the impact of MMLs on traffic fatalities and alcohol use, and found that legalisation was associated with a decrease of 8–10% in alcohol involved traffic fatalities after the first full year the law came into effect (Anderson et al, 2013). Another study looked at border alcohol sales from retail scanner data in 38 contiguous counties in Washington, and found that legalisation was associated with a 12% reduction in alcohol sales (Baggio et al, 2018).…”
Section: Resultsmentioning
confidence: 99%
“…While scientific research and survey data continue to link marijuana use with how we experience food, there has been little examination on food consumption beyond the stated preferences of individuals. Baggio and Chong (2019, 2020) are the first to implement non‐survey data to estimate the relationship between RML legislation and food consumption. In particular, they examine the effects on “junk” food, identifying “junk” food as: ice cream, cookies, and chips.…”
Section: Literature Reviewmentioning
confidence: 99%
“…We extend the previous research in four important ways. First, similar to Baggio and Chong (2019, 2020), we avoid potential bias generated from survey data by estimating the relationship between marijuana sales and food sales with data reported by the State of Washington. Second, we examine changes in aggregate spending patterns of three broad food categories: taxable food sales, non‐taxable food sales, and restaurant sales.…”
Section: Literature Reviewmentioning
confidence: 99%