Experienced bidders show sensitivity to the strategic considerations underlying common value auctions, but not to item valuation considerations. Auctions with large numbers of bidders (6-7) produce more aggressive bidding than with small numbers (3-4), resulting in negative profits, the winner's curse. Providing public information about the value of the item increases seller revenue in the absence of a winner's curse, but produces the contrary result in its presence.

An experiment analyzing behavior in English common value auctions is reported. English auctions raise more revenue than first-price auctions only when bidders do not suffer from a strong winner's curse. Agents employ other bidders' dropout prices along with their private information as Nash bidding theory predicts. However, a simple and natural signal-averaging rule, that does not require recognizing the adverse-selection effect of winning the auction, better characterizes the data than the Nash rule. Monte Carlo simulations using FIML estimates of the signal-averaging rule predict a number of data characteristics not directly employed in the estimation procedure.

Data on individual labor earnings are reported from two experimental economies where the primary factors responsible for income differences were differences in tastes for market income versus leisure and differences in abilities working manual job tasks. Measured income dispersion under these conditions was strikingly similar to that in the United states and other market economies, indicating that these two factors alone are sufficient to generate such income differences. Further, in tests of the functional form of the distributions of income, the hypothesis of lognormality fit better than the hypothesis of normality, just as it does in national data.