Cannabis regulatory reform has opened areas for product innovation and entrepreneurship. One dimension that has so far been understudied is the potential for cannabidiol (CBD) and tetrahydrocannabinol (THC) beverages. This study uses double-bounded contingent valuation techniques and parametric and nonparametric estimation procedures to assess consumer demand and willingness to pay (WTP) for various cannabis-infused beverages. By targeting a nationally representative sample of U.S. adults, the study finds that roughly half of consumers are willing to try cannabis-infused beverages. Among these respondents, cannabis-infused juices and sweetened iced tea elicit the highest mean WTP, though the WTP for other beverage options varies across demographics and consumer preferences. On average, the mean WTP for THC-infused beverages is 12.5% higher per 12 oz can than its CBD-infused counterpart, and younger consumers are willing to pay more for each of these products. These results have important implications for entrepreneurial decision-making, product development, and marketing strategies.

We used a survey to investigate the effects of personality, motives, and socioeconomics for drinking hard cider among 3,373 Norwegian respondents in 2023. Wine interest, cultural interest, having a high score on conspicuous attitude, or being female increased the predicted consumption frequencies of hard cider. Scoring high on the taste index, being a conscientious respondent, being older, higher educated, or believing religion is important reduced the predicted frequencies. The estimated effects were compared with the corresponding effects for red, white, and sparkling wines. Cultural interest and wine interest are the main motives for hard cider and all categories of wine.

This paper investigates the impact of corporate expansion in the alcohol retail industry on small-scale retailers. Our empirical approach exploits the timing of corporate entries across U.S. states that do not have a state monopoly to examine entry effects based on proximity to incumbent retailers. The analysis, drawing on a comprehensive dataset of U.S. alcohol retailers from 2000 to 2020, reveals that corporate entries within a 1-mile radius positively impact the employment and revenue of nearby small-scale retailers, with these effects intensifying over time and being more pronounced in metropolitan markets. Despite these localized impacts, the overall market structure and firm behavior remain largely unaffected.

Much research shows that the ratings that critics, judges, and consumers assign to wines are heteroscedastic. A rating observed is one draw from a latent distribution that is wine- and judge-specific. Estimating the shape of a rating’s distribution by minimizing a sum of cross entropies has been proposed and tested. This article proposes a method of improving the accuracy of that estimate by using information about the context of a wine competition or cross-section ratings data. Tests using the distributions implied by 90 blind triplicate ratings show that the sum of squared errors for the solution using context or cross-section information is 50% more accurate than not using such information and over 99% more accurate than ignoring the uncertainty about a rating.

This paper examines the economic impact of wine counterfeiting, with a focus on the Sassicaia scandal, publicized in 2020, regarding counterfeit 2015 vintage bottles of the iconic Super Tuscan wine. Wine fraud, documented since ancient Rome, has evolved alongside the industry, with key developments such as the Appellation d'Origine Contrôlée system aiming to curb it. The paper briefly reviews three other significant modern cases of wine counterfeiting: the Hardy Rodenstock “Jefferson bottles” affair, the Brunello di Montalcino scandal, and Rudy Kurniawan’s counterfeit operation. It then shifts to a detailed analysis of the case of Sassicaia. We combine informal analysis using data plots and a formal difference-in-differences analysis to assess the market impact of the 2015 Sassicaia scandal. We find that, surprisingly, the scandal led to an increase in the price of authentic 2015 Sassicaia, perhaps driven by perceived rarity and media attention.

Hedonic models that seek to explain the observable variation in wine and beer prices have so far included alcohol by volume (ABV) only as a control variable without paying much attention to the magnitude of the coefficient and without questioning the implicit assumption that the impact of ABV on bottle prices is indeed linear. Using data from the “Austrian Spirits Trophy 2023,” we find the relationship between ABV and bottle prices to be nonlinear, with statistically significant effects observed for linear, squared, and cubic terms of alcohol content. Moreover, we find expert evaluations of spirits to demonstrate a nonlinear relationship with ABV too.