Information Aggregation and the Information Content of Order Statistics
نویسندگان
چکیده
We show how auction theory can be used in the analysis of order statistics. In particular, we use a thought experiment in which we allocate signals to bidders who compete in a k+ 1-price auction. We use recent results about information aggregation in auction with many bidders to show that the amount of information in the k-th order statistics is increasing in k in the limit when the number of signals increases and k is fixed. Still, even the first-order statistic contains non-trivial information. 1We would like to thank George Shanthikumar, Matt Jackson and Peter DeMarzo for helpful comments. Contact information: Graduate School of Business, Stanford, CA 94305-5015 E-mail: [email protected], [email protected].
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تاریخ انتشار 2005