We study equilibria of dynamic over-the-counter markets in which agents are distinguished by their preferences and information. Over time, agents are privately informed by bids and offers. Investors differ with respect to information quality, including initial information precision, and also in...

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...

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to understand how to play games of incomplete information under private values. The conclusions depend on whether players interact within a fixed set (fixed matching) or they are...

In contexts in which players have no priors, we analyze a learning process based on ex-post regret as a guide to understand how to play games of incomplete information under private values. The conclusions depend on whether players interact within a fixed set (fixed matching) or they are...

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...

We examine learning behavior in auctions and Fair division games with independent private values under two different price rules, first and second price. Participants face these four games repeatedly and submit complete bid functions rather than single bids. This allows us to examine whether...

This paper shows that in online car auctions, resellers are better at appraising the value of the cars they are bidding on than are consumers. Using a unique data set of online car auctions, I show that differences in bidding behavior between resellers and consumers can be explained by...

We examine learning behavior in auctions and Fair division games with independent private values under two different price rules, first and second price. Participants face these four games repeatedly and submit complete bid functions rather than single bids. This allows us to examine whether...

A classic argument in economics is that experience in the market place will eliminate mistakes and cognitive biases. Internet auctions are a popular market were some bidders gather extensive experience. In a unique data set from a Scandinavian auction site I question if and what bidders learn....

This paper describes the use of a genetic algorithm (GA) to model several standard industrial organisation games: Bertrand and Cournot competition, a vertical chain of monopolies, and a simple model of an electricity pool. The intention is to demonstrate that the GA performs well as a modelling...