Departmental Papers (CIS)

Beating randomized response on incoherent matrices

Aaron Roth, University of Pennsylvania

Document Type Conference Paper

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doi>10.1145/2229012.2229076

Abstract

We consider the problem of conducting a survey with the goal of obtaining an unbiased estimator of some population statistic when individuals have unknown costs (drawn from a known prior) for participating in the survey. Individuals must be compensated for their participation and are strategic agents, and so the payment scheme must incentivize truthful behavior. We derive optimal truthful mechanisms for this problem for the two goals of minimizing the variance of the estimator given a fixed budget, and minimizing the expected cost of the survey given a fixed variance goal.

 

Date Posted: 30 July 2012