The sugar content of California wine grapes has increased significantly over the past 10–20 years, and this implies a corresponding increase in the alcohol content of wine made with those grapes. In this paper we develop a simple model of winegrape production and quality, including sugar content and other characteristics as choice variables along with yield. Using this model we derive hypotheses about alternative theoretical explanations for the phenomenon of rising sugar content of grapes, including effects of changes in climate and producer responses to changes in consumer demand. We analyze detailed data on changes in the sugar content of California wine grapes at crush to obtain insight into the relative importance of the different influences. We buttress this analysis of sugar content of wine grapes with data on the alcohol content of wine. (JEL Classification: Q54, Q19, D12, D22)

This paper reports an analysis of data from the “Judgment of Paris,” the 1976 blind tasting of California and French wines that revolutionized the wine world. Using both empirical and analytical methods, I demonstrate that the wine quality judgments of the renowned experts who participated in the Paris tasting would have been improved simply by averaging the quality ratings of two or more of the judges. Moreover, I explore both how many of the Paris judges should be included in the average and which ones they should be. The results have implications for the practical issue of choosing judges to include in tasting panels that award prizes or provide expert advice to consumers, as well as for better understanding the variability in the price-quality association across hedonic wine pricing studies. (JEL Classification: C93)

Using a canonical model of signaling, we show that if the cost of organic viticulture is strictly increasing in the quality dimension, then the use of eco-labels as a signal for quality cannot possibly occur as an equilibrium outcome. Conditions for the existence of such a signalling equilibrium as well as some general properties regarding its configuration are herein characterized. (JEL Classification: L15, L66, M3)

This symposium in the Journal of Wine Economics contains a series of articles on various aspects of the economics of beer and brewing. Today, wine and beer are the two most widely consumed alcoholic beverages in the world. Beer consumption is larger than wine consumption both in terms of volume and value. In 2007 global beer consumption reached 174 billion liters compared to 24 billion liters for wine. The global value of beer amounted to 153 billion US dollars, which was roughly double the global value of wine – around 75 billion US dollars (Colen and Swinnen, 2011).

This article reviews beer production, consumption and the industrial organization of breweries throughout history. Monasteries were the centers of the beer economy in the early Middle Ages. Innovation and increased demand later induced the growth of commercial breweries. Globalization and scientific discoveries transformed the beer industry and increased competition from the 16th through the 19th century. The 20th century was characterized by dramatic (domestic and international) consolidation, major shifts in consumption patterns, and the re-emergence of small breweries. (JEL Classification: N30, N40, L23, L66)

The U.S. Beer industry has undergone two periods of major structural change in the post-World War II period. The first period, 1950–1980, was one of consolidation in which concentration increased dramatically. Since this period, combinations among leading brewers took place that would not have passed antitrust scrutiny earlier. The second period, from 1980 on, is one of fragmentation, marked by the entry of many craft brewers and increased product heterogeneity. The fragmentation has brought about consumption complementarities between wine and beer that never existed before. The wine and beer industry both face distributional inefficiencies sustained by state regulatory provisions that were a consequence of ending prohibition in the United States. Each of these topics is explored in this paper. (JEL Classification: L66, M37)

Data on U.S. state-level beer shipments from 1970 to 2007 provided by The Beer Institute are used to estimate pooled time-series models of annual consumption regressed on economic and demographic variables, using the common correlated effects (CCE) estimators to control for unobserved common effects and to allow for heterogeneous responses across units. Beer is found to be a procyclical good, varying negatively with the state unemployment rate. Previous findings for the negative effect of excise taxes on consumption are supported, though the estimated elasticities are smaller than those reported in earlier research. Demographics have a significant and material effect on consumption, with larger shares of young adults in the population implying greater consumption of beer per capita. (JEL Classification: D12, C23)

Student's exacting theory of errors, both random and real, marked a significant advance over ambiguous reports of plant life and fermentation asserted by chemists from Priestley and Lavoisier down to Pasteur and Johannsen, working at the Carlsberg Laboratory. One reason seems to be that William Sealy Gosset (1876–1937) aka “Student” – he of Student's t-table and test of statistical significance – rejected artificial rules about sample size, experimental design, and the level of significance, and took instead an economic approach to the logic of decisions made under uncertainty. In his job as Apprentice Brewer, Head Experimental Brewer, and finally Head Brewer of Guinness, Student produced small samples of experimental barley, malt, and hops, seeking guidance for industrial quality control and maximum expected profit at the large scale brewery. In the process Student invented or inspired half of modern statistics. This article draws on original archival evidence, shedding light on several core yet neglected aspects of Student's methods, that is, Guinnessometrics, not discussed by Ronald A. Fisher (1890–1962). The focus is on Student's small sample, economic approach to real error minimization, particularly in field and laboratory experiments he conducted on barley and malt, 1904 to 1937. Balanced designs of experiments, he found, are more efficient than random and have higher power to detect large and real treatment differences in a series of repeated and independent experiments. Student's world-class achievement poses a challenge to every science. Should statistical methods – such as the choice of sample size, experimental design, and level of significance – follow the purpose of the experiment, rather than the other way around? (JEL classification codes: C10, C90, C93, L66)