The influence of the wine rater Robert Parker Jr. on Bordeaux wine extended over a 40-year period, with a particular impact on en primeur wine prices. Consequently, his announcement in 2015 that he would no longer rate en primeur wines creates some uncertainty for many chateaux that have purposely designed their production with his palate and preferences in mind. Although the wine rater Neal Martin was named by Parker to be his successor in terms of en primeur wine ratings, there are several other wine critics who have consistently rated en primeur wines over several years. Consequently, we employ copula function analysis to explore which wine critics’ ratings exhibit the closest linear and nonlinear relationship, for right bank en primeur wines, with those of Parker. The study employs data over the period of 2005 through 2012, during which time several wine critics, including Neal Martin for the period of 2010–2012, rated en primeur wines alongside Parker. Our results indicate that of the wine critics that continue to rate en primeur wines, the ratings of James Suckling exhibit the highest rank correlation and also bivariate upper tail dependence, identified through copula function analysis, with those of Parker. (JEL Classifications: C19, G13, L66)

This article examines the main determinants of differences in ask prices set by investors for single malt whiskies from Islay in Scotland using an original dataset collected from a web trading platform specializing in whisky investment. We find strong evidence that the vintage age (the number of years between the distillation date and the data collection date) positively affects investor asking prices. More precisely, given that the characteristics of whisky, unlike wine, do not change over time once bottled, we disentangle the vintage age effect by subdividing the vintage age into whisky age (the time spent in the cask) and bottle age (the time spent in the bottle). Our results show that whisky age has a more pronounced impact (8.9% per year on average) than bottle age (6.7%). Other findings include the significant influence of distillery reputation, with a moderating effect for independent bottling (i.e., not in-house by the distiller itself) and a positive impact for cask strength whiskies compared to diluted ones. (JEL Classifications: G11, L15, Q11)

We specify a two-tier stochastic frontier model to estimate a price equation for U.S. Rieslings and determine overpricing and underpricing of specific wines. The data is for 2000–2016. Using tasting score and tasting score squared as sole independent variables, we found evidence of overpricing and underpricing of wines. When additional location variables were entered, empirical estimates for this two-tier model were infeasible, suggesting that both underpricing and overpricing did not occur simultaneously in this market. Separate one-sided stochastic frontier models were then specified and estimated to test for either under or overpricing in this market. Results showed that overpricing exists and not underpricing, but the extent of overpricing is minor, suggesting that wineries do an efficient job pricing their wines, given tasting scores, conditional on regional location premiums or discounts. We also investigated the effect of scale on pricing for a smaller set of wineries. (JEL Classifications: C4, D4, Q1)

This article tests the stability of the main hedonic wine price coefficients over time. We draw on an extensive literature review to identify the most frequently used methodology and define a standard hedonic model. We estimate this model on monthly subsamples of a worldwide auction database of the most commonly exchanged fine wines. This provides, for each attribute, a monthly time series of hedonic coefficients time series data from 2003 to 2014. Using a multivariate autoregressive model, we then study the stability of these coefficients over time and test the existence of structural or cyclical changes related to fluctuations in general price levels. We find that most hedonic coefficients are variable and either exhibit structural or cyclical variations over time. These findings shed doubt on the relevance of both short- and long-run hedonic estimations. (JEL Classifications: C13, C22, D44, G11)

A recent study in the Journal of Wine Economics presented forecasts of future alcohol consumption derived using the ARIMA (Box–Jenkins) method. Alcohol consumption forecasts can be developed using many different methodologies. In this Note we highlight the value of using multiple methods to develop alcohol consumption forecasts, and demonstrate the capability of the R software platform as a general forecasting tool. (JEL Classifications: D12, C53)