We analyze a repeated first-price auction in which the types of the players are determined before the first round. It is proved that if every player is using either a belief-based learning scheme with bounded recall or a generalized fictitious play learning scheme, then for sufficiently large...

Many internet auction sites implement ascending-bid, second-price auctions. Empirically, last minute or quot;latequot; bidding is frequently observed in quot;hard-closequot; but not in quot;soft-closequot; versions of these auctions. In this paper, we introduce an independent private-value...

A large fraction of online advertisements are sold via repeated second-price auctions. In these auctions, the reserve price is the main tool for the auctioneer to boost revenues. In this work, we investigate the following question: How can the auctioneer optimize reserve prices by learning from...

We propose a novel approach to the modelling of second-price Maximum-Value auctions that assumes no belief about others' behavior and no expected profit maximization. This individual decision-making model, naïve Impulse Balance Equilibrium or nIBE, deals with bidders' anticipated regrets from...

We develop a dynamic matching and bargaining game with aggregate uncertainty about the relative scarcity of a commodity. We use our model to study price discovery in a decentralized exchange economy: Traders gradually learn about the state of the market through a sequence of multilateral...

The auctioning of frequency has to comply with a multitude of requirements in order to guarantee a transparent and efficient process. The German Federal Network Agency (Bundesnetzagentur) has opted for a design that provides participants with information on the highest bid after each round for...

In this study, we designed a delayed payment mechanism in laboratory second price auctions (SPAs) under which subjects received a cash endowment two weeks after the experiment day and had to use their own money to pay the experimental loss (if any) on the experiment day. We compared the effect...

We analyze choices of sellers, each setting a reserve price in a laboratory first price auction with automated equilibrium bidding. Subjects are allowed to gain experience for a fixed period of time prior to making a single payoff-relevant choice. Behavior of more experienced sellers was...

We present a hidden Markov model of discrete strategic heterogeneity and learning in first price independent private values auctions. The model includes three latent bidding rules: constant absolute mark-up, constant percentage mark-up, and strategic best response. Rule switching probabilities...