Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published October 23, 2019 | Accepted Version
Report Open

Information transfer and aggregation in an uninformed committee: A model for the selection and use of biased expert advice

Abstract

A committee of five uses majority rule for decisions on two public goods. Individual committee member preferences depend on a state of nature that is unknown to the committee members but the state of nature is known to two experts who have preferences about committee decisions. Experts have no vote on the committee but provide a recommendation to the committee at the opening of a meeting. Two experts who have known, opposing biases are selected – a dyadic mechanism. The results reveal that experts do not tell the truth but committee decisions are as if committee members know what the experts know. The information transfer occurs because committee members anticipate the biases and properly infer the information held by the experts.

Additional Information

The financial support of the Caltech Laboratory for Experimental Economics and Political Science is gratefully acknowledged. The paper benefited from the comments of Rick Harbaugh and Alexander Hirsch and the insights of Meghana Bhatt, who as a student in a Caltech experimental economics class, conducted initial pilot experiments. The research and paper also benefited from the participants attending a conference on behavioral and experimental economics held at the University of California Santa Barbara in February 2006.

Attached Files

Accepted Version - sswp1394_-_revised.pdf

Files

sswp1394_-_revised.pdf
Files (847.3 kB)
Name Size Download all
md5:7fb45390ce43d662f74ecd31b568439e
847.3 kB Preview Download

Additional details

Created:
August 22, 2023
Modified:
March 5, 2024