We study the optimal auction design problem when bidders' preferences follow the maxmin expected utility model. We suppose that the bidders' set of priors consists of beliefs "close" to the seller's belief, where "closeness" is defined by a divergence. For a given allocation rule, we identify a...

We study the revenue comparison problem of auctions when the seller has a maxmin expected utility preference. The seller holds a set of priors around some reference belief, interpreted as an approximating model of the true probability law or the focal point distribution. We develop a methodology...