We study the relative performance of the first-price sealed-bid auction and the second-price sealed-bid auction in a laboratory experiment where bidders can signal information through their bidding behavior to an outside observer. We consider two different information settings: the auctioneer...

This paper studies markets plagued with asymmetric information on the quality of traded goods. In Akerlof's setting, sellers are better informed than buyers. In contrast, we examine cases where buyers are better informed than sellers. This creates an inverse adverse selection problem: The market...

Globally, governments increasingly rely on auctions to advance renewable energy. This paper studies the design of wind farm auctions and evaluates the impact of price guarantees and subsidies on auction efficiency, government revenue, and renewable-energy production. While the theoretical...

In reverse auctions, buyers often retain the right to bargain further concessions from the winner. The optimal form of such procurement is an English auction followed by an auctioneer's option to engage in ultimatum bargaining with the winner. We study behavior and performance in this...

In this note, we experimentally examine the relative performance of price-only auctions and multi-attribute auctions. We do so in procurement settings where the buyer can give the winning bidder incentives to exert effort on non-price dimensions after the auction. Both auctions theoretically...

We investigate experimentally whether emotions affect bidding behavior in a firstprice auction. To induce emotions, we confront subjects after a first auction series with apositive or negative random economic shock. We then explore the relation between emotions andbidding behavior in a second...

If a government auctions the right to market a good, continuity is likely to be of significant importance. In a laboratory experiment, we compare the effects of bidders' limited liability in the first-price sealed-bid auction and the English auction in a common value setting. Our data strongly...