Price determinants in top-quality e-auctioned specialty coffees

We analyze the price determinants of specialty coffees traded at e-auctions. We hypothesize that since specialty coffees are a highly differentiated product, prices will be determined by both sensory and reputation attributes. To test our hypotheses, we estimate a hedonic price function using data from Central and South American e-auctions and calculate the implicit prices of sensory and reputation attributes. The results show that market clearing prices are a function of sensory characteristics and reputation variables including third-party quality ranking, country of origin, coffee variety, and quantity. The additional attribute information disclosed at e-auctions results in substantially higher prices relative to conventional commodity coffee market prices.