We analyze a new auction format in which bidders pay a fee each time they increase the auction price. Bidding fees are the primary source of revenue for the seller, but produce the same expected revenue as standard auctions (assuming risk-neutral bidders). If risk-loving preferences are incorporated in the model, expected revenue increases. Our model predicts a particular distribution of ending prices, which we test against observed auction data. The degree of fit depends on how unobserved parameters are chosen; in particular, a slight preference for risk has the biggest impact in explaining auction behavior, suggesting that pay-to-bid auctions are a mild form of gambling.

Outcome bias occurs when an evaluator considers ex-post outcomes when judging whether a choice was correct, ex-ante. We formalize this cognitive bias in a simple model of distorted Bayesian updating. We then examine strategy changes made by professional football coaches. We find they are more likely to revise their strategy after a loss than a win -even for narrow losses, which are uninformative about future success. This increased revision following a loss occurs even when a loss was expected, and the offensive strategy is revised even when failure is attributable to the defense. These results are consistent with our model's predictions.JEL Codes: C11, D03, D81, L83

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We present a new equilibrium search model where consumers initially search among discount opportunities, but are willing to pay more as a deadline approaches, eventually turning to full-price sellers. The model predicts equilibrium price dispersion and rationalizes discount and full-price sellers coexisting without relying on ex ante heterogeneity. We apply the model to online retail sales via auctions and posted prices, where failed attempts to purchase reveal consumers' reservation prices. We find robust evidence supporting the theory. We quantify dynamic search frictions arising from deadlines and show how, with deadline-constrained buyers, seemingly neutral platform fee increases can cause large market shifts. (JEL D11, D44, D83, L81)