DocumentCode :
3710120
Title :
Optimal Auctions vs. Anonymous Pricing
Author :
Saeed Alaei;Jason Hartline;Rad Niazadeh;Emmanouil Pountourakis;Yang Yuan
Author_Institution :
Google Res., Mountain View, CA, USA
fYear :
2015
Firstpage :
1446
Lastpage :
1463
Abstract :
For selling a single item to agents with independent but non-identically distributed values, the revenue optimal auction is complex. With respect to it, Hartline and Rough garden showed that the approximation factor of the second-price auction with an anonymous reserve is between two and four. We consider the more demanding problem of approximating the revenue of the ex ante relaxation of the auction problem by posting an anonymous price (while supplies last) and prove that their worst-case ratio is e. As a corollary, the upper-bound of anonymous pricing or anonymous reserves versus the optimal auction improves from four to e. We conclude that, up to an e factor, discrimination and simultaneity are unimportant for driving revenue in single-item auctions.
Keywords :
"Pricing","Approximation methods","Upper bound","Standards","Computer science","Electronic mail","Optimization"
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on
ISSN :
0272-5428
Type :
conf
DOI :
10.1109/FOCS.2015.92
Filename :
7354466
Link To Document :
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