Information Variability Impacts in Auctions

A wide variety of auction models exhibit close relationships between expected revenue and the secondhighest order statistic of bidders’ expected asset values. Similarly close relationships between the winner’s expected profit and the expected difference between the highest and second-highest order statistics of bidders’ information are also common. We use stochastic orderings to see when greater environmental variability of bidders’ information enhances expected profit and expected revenue.