The objective of this article is to analyze the determinants of world wine exports in the first globalization, taking into account the principal exporting countries and using an extended version of the gravity model. The article distinguishes between ordinary- and high-quality wines. Our econometric results show that wine exports were not affected by the increase in the size of the markets of consuming countries, since in most of them wine was an alcoholic beverage consumed by a very small minority of the population. The harvests of the producing countries, particularly in preceding years, significantly and positively affected their exports. Conversely, the harvests of importers hurt exports as there was a home bias in consumption due to cultural, price, or tariff protection reasons. In the interwar period, the wine trade was severely affected by a series of shocks such as WWI, the Soviet revolution, the Prohibition, and the 1930s depression. As was the case with trade as a whole, the fall in transaction costs, favored exports, at least those of lower-priced and lower-quality wine. However, the liberalization of trade had a lesser impact on wine than on other products. (JEL Classifications: F14, N50, Q13, Q17)

This article examines whether there are different hedonic price models for different German wines by grape variety, and identifies influential factors that focus on weather variables and direct and indirect quality measures for wine prices. A log linear regression model is first applied only for Riesling, and then machine learning is used to find hedonic price models for Riesling, Silvaner, Pinot Blanc, and Pinot Noir. Machine learning exhibits slightly greater explanatory power, suggests adding additional variables, and allows for a more detailed interpretation of results. Gault&Millau points are shown to have a significant positive impact on German wine prices. The log linear approach suggests a huge effect of different quality categories on the wine prices for Riesling with the highest price premiums for Auslese and “Beerenauslese/Trockenbeerenauslese/Eiswein (Batbaice),” while the machine learning model shows, that additionally the alcohol level has a positive effect on wines in the quality categories “QbA,” “Kabinett,” and “Spätlese,” and a mostly negative one in the categories “Auslese” and “Batbaice.” Weather variables exert different affects per grape variety, but all grape varieties have problems coping with rising maximum temperatures in the winter and with rising minimum and maximum temperatures in the harvest season. (JEL Classifications: C45, L11, Q11)

American Viticultural Areas (AVAs) are descriptors of where wine grapes are grown that are designed to capture qualities unique to the wine and to influence its price. Sub-AVAs are sub-divisions of well-known AVAs designed to have the same effect. In this paper, I study the impact of the Napa Valley Sub-AVA system on the pricing and rating of Napa Valley wines. The analysis utilizes a primary hedonic pricing model to isolate both the individual Sub-AVA's price effect and the system's cumulative price effect. This study uses a unique dataset of 5,017 Napa Valley wines reviewed by the Connoisseurs’ Guide to California Wine over the 10-year period from 2004–2013. Estimated price effects persist even after controlling for rating differences, implying that consumers value the wines of sub-AVA's independently of critics’ ratings. These results indicate that Sub-AVAs deliver a more substantial price effect than previous literature has suggested. (JEL Classifications: C01, L10, L66, O13)

This article describes a new empirical model of the world's markets for alcoholic beverages and, to illustrate its usefulness, reports results from projections of those markets from 2016–2018 to 2025 under various scenarios. It not only revises and updates a model of the world's wine markets (Wittwer, Berger, and Anderson, 2003), but also adds beer and spirits so as to capture the substitutability of those beverages among consumers. The model has some of the features of an economy-wide computable general equilibrium model, with international trade linking the markets of its 44 countries and seven residual regions. It is used to simulate prospects for these markets by 2025 (business-as-usual), which points to Asia's rise. Then two alternative scenarios to 2025 are explored: one simulates the withdrawal of the United Kingdom from the European Union (EU); the other simulates the effects of the recent imposition of additional 25% tariffs on selected beverages imported by the United States from several EU member countries. Future applications of the model are discussed in the concluding section. (JEL Classifications: C53, F11, F17, Q13)