Yeon-Koo Che
Yeon-Koo Che is an American economist. He is the Kelvin J. Lancaster Professor of Economic Theory at Columbia University, a position he held since 2009. Prior to joining Columbia in 2005, he was a professor at University of Wisconsin-Madison.
Education
Che earned his BA in economics from Seoul National University in 1984, his MA from University of Toronto in 1986. He received his Ph.D. from Stanford University in 1991, with Paul Milgrom serving his main advisor.Academic career
Che's research concerns microeconomic theory, with special focus on markets, auctions, contracts and matching, dynamic information acquisition. His research has been supported by National Science Foundation grants and National Research Foundation grants from Korea. He is Fellow of Econometric Society and Fellow of Economic Theory for the Society of Advancement of Economic Theory. He is a member of Council of Game Theory Society. He has served as editor of Journal of Industrial Economics, associate editor of Econometrica, Journal of Economic Theory, and Games and Economic Behavior. He was the inaugural recipient in 2008 of the R. K. Cho Economics Prize, and the recipient of 2009 KAEA-MK Prize. He has given numerous Keynote addresses, including the Jacob Marschak Lecture at Australasian Meeting of Econometric Society, Asian Meeting of Econometric Society, and Latin American Meeting of Econometric Society.Research
Che has made significant contributions to the theory of market design, particularly in the areas of auction theory, contract theory and matching theory. His early work contributes to the theory of mechanism and auction design: scoring-rule auctions, auctions with budget constraints, collusion-proof mechanism design, research contest, the incomplete contract paradigm for organization theory, and the matching theory in the context of college admission and school choice. His recent research agenda includes data-driven digital economy and dynamic information acquisition by economic agents. His current research projects explore the implications of data-driven economic decision making and resource allocation for welfare and distributional consequences.Auction theory and mechanism design
Many public-works contracts are awarded via auctions where bidders compete in multiple dimensions of performances. He developed a theory of scoring-rule auctions to model such situations. In a scoring-rule auction, bidders propose multi-attribute bids say quality and price, and the auctioneer uses a scoring function to evaluate the bid, and awards a contract to the bidder whose proposal score is the highest. His paper shows that the optimal outcome can be implemented using a scoring function that downplays quality relative to price to intensify price competition. His second-score format anticipates the practice of adjusting payments based on advertiser's click-through rates commonly used in the Internet ad auctions.He wrote a series of papers with Ian Gale on the role of budget constraints in auctions and auctions design. They show that bidders differing in budgets act fundamentally differently from bidders differing in their valuations of goods, leading to important implications for efficiency and revenue. The well-known revenue equivalence theorem fails for instance.