The paper reports on the effects of one-sided imperfect information on bidding behaviour in simultaneous and sequential first-price auctions of non-identical objects when bidders have multi-unit demands. The analysis provides the following four main results. First, when different objects are to...

“Overbidding” with respect to risk-neutral Nash predictions in first-price auction experiments has been consistently reported in the literature. One possible explanation for overbidding is that participants in these experiments do not have a clear perception of probabilities, which causes...

In many industries, firms reward their customers for making referrals. We analyze the optimal policy mix of price, advertising intensity, and referral fee for monopoly when buyers choose to what extent to refer other consumers to the firm. We find that the firm uses its referral fee, but not its...

We develop a tractable model of competition among motivated MFIs. We find that equilibria may or may not involve double-dipping (and consequently default), with there being double-dipping whenever the MFIs are very profit-oriented. Moreover, in an equilibrium with double-dipping, borrowers who...

This paper compares the equilibrium outcomes in search markets with and without referrals. Although it seems clear that consumers would benefit from referrals, it is not at all clear whether firms would unilaterally provide information about competing offers since such information could...

Consider the problem of maximizing the revenue from selling a number of goods to a single buyer. We show that, unlike the case of one good, when the buyer's values for the goods increase the seller's maximal revenue may well decrease. We then identify two circumstances where monotonicity does...

Consider the problem of maximizing the revenue from selling a number of goods to a single buyer. We show that, unlike the case of one good, when the buyer's values for the goods increase the seller's maximal revenue may well decrease. We then identify two circumstances where monotonicity does...

Various approaches used in Agent-based Computational Economics (ACE) to model endogenously determined interactions between agents are discussed. This concerns models in which agents not only (learn how to) play some (market or other) game, but also (learn to) decide with whom to do that (or not).