Lower Bounds on Revenue of Approximately Optimal Auctions
- Other:
- Goldberg, Paul W.
Abstract
We obtain revenue guarantees for the simple pricing mechanism of a single posted price, in terms of a natural parameter of the distribution of buyers' valuations. Our revenue guarantee applies to the single item n buyers setting, with values drawn from an arbitrary joint distribution. Specifically, we show that a single price drawn from the distribution of the maximum valuation v_(max) = max{V_1,V_2,…,V_n} achieves a revenue of at least a 1/e fraction of the geometric expectation of v_(max). This generic bound is a measure of how revenue improves/degrades as a function of the concentration/spread of v_(max). We further show that in absence of buyers' valuation distributions, recruiting an additional set of identical bidders will yield a similar guarantee on revenue. Finally, our bound also gives a measure of the extent to which one can simultaneously approximate welfare and revenue in terms of the concentration/spread of v_(max).
Additional Information
© 2012 Springer-Verlag Berlin Heidelberg. This work was done while the author was an intern at Microsoft Research. Part of this work was done while the author was an intern at Microsoft Research. Supported in part by ONR grant N00014-98-1-0589 and a Simons Graduate Fellowship. Part of this work was done while the author was a visitor at Microsoft Research. Supported in part by a Google Europe fellowship in Social Computing.Attached Files
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Additional details
- Eprint ID
- 71975
- DOI
- 10.1007/978-3-642-35311-6_42
- Resolver ID
- CaltechAUTHORS:20161114-082632264
- Office of Naval Research (ONR)
- N00014-98-1-0589
- Simons Foundation
- Created
-
2016-11-16Created from EPrint's datestamp field
- Updated
-
2021-11-11Created from EPrint's last_modified field
- Series Name
- Lecture Notes in Computer Science
- Series Volume or Issue Number
- 7695