English

Lower Bounds on Revenue of Approximately Optimal Auctions

Computer Science and Game Theory 2015-06-02 v1

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 Vmax = max {V_1, V_2, ...,V_n} achieves a revenue of at least a 1/e fraction of the geometric expecation of Vmax. This generic bound is a measure of how revenue improves/degrades as a function of the concentration/spread of Vmax. 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 Vmax.

Keywords

Cite

@article{arxiv.1210.0275,
  title  = {Lower Bounds on Revenue of Approximately Optimal Auctions},
  author = {Balasubramanian Sivan and Vasilis Syrgkanis and Omer Tamuz},
  journal= {arXiv preprint arXiv:1210.0275},
  year   = {2015}
}

Comments

The 8th Workshop on Internet and Network Economics (WINE)