MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Truthfulness and Stochastic Dominance

Martin Hoefer
Max-Planck-Institut für Informatik - D1
AG1 Mittagsseminar (own work)
AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI  
AG Audience
English

Date, Time and Location

Tuesday, 11 June 2013
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

We consider truthfulness concepts for auctions with payments based on first- and second-order stochastic dominance. We assume bidders consider wealth in standard quasi-linear form as valuation minus payments. Additionally, they are sensitive to risk in the distribution of wealth stemming from randomized mechanisms. First- and second-order stochastic dominance are well-known to capture risk-sensitivity, and we apply these concepts to capture truth-telling incentives for bidders.


We provide a complete characterization of all social-choice functions over binary single-parameter domains that can be implemented by a mechanism that is truthful in first- and second-order stochastic dominance. We show that these are exactly the social-choice functions implementable by truthful-in-expectation mechanisms, and we provide a novel payment rule that guarantees stochastic dominance.

In addition, we extend the celebrated randomized meta-rounding approach for truthful-in-expectation mechanisms in packing domains. We design mechanisms that are truthful in first-order stochastic dominance by spending only a logarithmic factor in the approximation guarantee.

Contact

Martin Hoefer
--email hidden
passcode not visible
logged in users only

Martin Hoefer, 04/24/2013 16:54 -- Created document.