This paper analyzes the impact of annual weather fluctuations on the total output of wine and on the share of output of different wine-quality categories in Germany, using a set of wine data from all thirteen German wine regions and daily weather data taken from regional weather stations. The empirical analysis suggests that rising average temperatures have a significantly positive impact on the total output of wine as well as on the output shares of wine in higher-quality categories. The number of freezing days appears to be detrimental to overall production; precipitation during the growing season impairs higher-quality wines in particular. (JEL Classifications: Q21, Q13)

This paper analyzes wine price dispersion in the United Kingdom. In particular, we are interested in examining whether Fairtrade wines are different from non-Fairtrade wines. Because Fairtrade wines serve an additional social purpose, one may think that consumers search less aggressively for the outlet with the lowest price, thus allowing for a larger price dispersion than for regular wines. We draw on data for about seven thousand wines from South Africa, Fairtrade and non-Fairtrade, sold in the United Kingdom between 2007 and 2012. In a first step, we run a hedonic regression model explaining the wine prices using Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) Instrumental Variable (IV) approaches. In the next step, we regress the squared residuals from the first step on a Fairtrade 0-1 dummy-variable. When using the squared residuals from the OLS model, we find that Fairtrade is a negative determinant of price dispersion. Therefore, Fairtrade wines exhibit a significant lower price dispersion than the comparison group. When using the squared residuals from the IV model, we find mixed results and suspect the presence of a substantial bias due to weak instruments. Finally, in order to avoid IV pitfalls, we ran Fairtrade and Non-Fairtrade wines in separate equations. We find support for the OLS results, i.e., Fairtrade wines appear to exhibit lower price dispersion than their non-Fairtrade counterparts. Whether this is due to consumer search is a priori unclear. (JEL Classifications: L31, L81, Q11)