University of Connecticut, Storrs, CT, United States.
Georgia State University, Atlanta, GA, United States; Universidad del Pacifico, Lima, Perú.
Econ Hum Biol. 2020 Dec;39:100922. doi: 10.1016/j.ehb.2020.100922. Epub 2020 Sep 1.
We use retail scanner data on purchases of high calorie food to study the causal relationship between recreational marijuana laws (RMLs) and consumption of high calorie food. To do this we exploit differences in the timing of introduction of recreational marijuana laws among states and find that they are complements. Specifically, in counties located in RML states monthly sales of high calorie food increased by 3.2 percent when measured by sales and 4.5 percent when measured by volume when using our preferred identification strategy. Results are robust to including placebo effective dates for RMLs in treated states and products as well as when using Synthetic Control Methods as an alternative methodology.
我们利用零售扫描数据购买高热量食品来研究娱乐大麻合法化（RML）与高热量食品消费之间的因果关系。为此，我们利用各州娱乐大麻合法化实施时间的差异，并发现两者之间是互补关系。具体来说，在采用我们首选的识别策略时，RML 州的县每月的高热量食品销售额增加了 3.2%（以销售额衡量）和 4.5%（以销售量衡量）。结果在包括治疗州和产品的 RML 安慰剂生效日期以及使用合成控制方法作为替代方法时都是稳健的。
