This study uses a basket-based choice experiment with 2,010 U.S. adults to analyze alcohol and cannabis preferences in social settings following cannabis legalization. Through descriptive statistics and multivariate logistic modeling, we highlight the heterogeneous preferences consumers have for alcohol and cannabis products. Specifically, we demonstrate that a substantial portion of the survey respondents prefer to consume these substances together in social settings, while others view them as independent markets. Regression analysis then reveals that males and younger consumers are most likely to bundle these substances, while personality traits also correlate with expected simultaneous substance use. These results offer valuable insights to improve public health policy and messaging on the potential short- and long-term risks associated with cosubstance use.

We experimentally study how individuals strategically disclose multidimensional information to a Naive Bayes algorithm trained to guess their characteristics. Subjects’ objective is to minimize the algorithm’s accuracy in guessing a target characteristic. We vary what participants know about the algorithm’s functioning and how obvious are the correlations between the target and other characteristics. Optimal disclosure strategies rely on subjects identifying whether the combination of their characteristics is common or not. Information about the algorithm functioning makes subjects identify correlations they otherwise do not see but also overthink. Overall, this information decreases the frequency of optimal disclosure strategies.

This study examined how various components of the Certified South Carolina campaign are valued by participating restaurants. A choice experiment was conducted to estimate the average willingness to pay (WTP) for each campaign component using a mixed logit model. Three existing campaign components—Labeling, Multimedia Advertising, and the “Fresh on the Menu” program—were found to have a significant positive economic value. Results also revealed that the type of restaurant, the level of satisfaction with the campaign, and the factors motivating participation significantly affected restaurants' WTP for the campaign components.