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Learning Rival¡¯s Information in Interdependent Value Auctions

Jinwoo Kim () and Youngwoo Koh ()

Working Paper Series from Institute of Economic Research, Seoul National University

Abstract: We study a simple auction model with interdependent values in which bidders can learn their rival¡¯s information and compete in the first-price or second-price auction. We characterize unique symmetric equilibrium strategies-both learning and bidding strategies-for the two auction formats. While bidders learn rival¡¯s signals with higher probabilities in the first-price auction, they earn higher rent in the second-price auction. We also show that when learning cost is small, signal correlation is low, or value interdependence is weak, the first-price auction generates a higher revenue than the second-price auction, while the revenue ranking is reversed otherwise.

Date: 2017-09
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