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.

我们使用零售扫描仪中有关高卡路里食物购买的数据来研究休闲性大麻法律（RML）与高卡路里食物消费之间的因果关系。为此，我们利用了各州之间实行休闲大麻法律的时间差异，并发现它们是互补的。具体来说，在RML州，使用我们的首选识别策略，按销售额衡量，高热量食品的月销售额增长了3.2％，而按数量计量，则增长了4.5％。结果可靠地包含了治疗状态和产品中RML的安慰剂有效日期，以及使用综合控制方法作为替代方法时。