Policy Advice with Imperfectly Informed Experts
Marco Battaglini
The B.E. Journal of Theoretical Economics, 2004, vol. 4, issue 1, 34
Abstract:
We study policy advice by several experts with noisy private information and biased preferences. We highlight a trade-off between the truthfulness of the information revealed by each expert and the number of signals from different experts that can be aggregated to reduce noise. Contrary to models with perfectly informed experts, because of this trade-off, full revelation of information is never possible. However, almost fully efficient information extraction can be obtained in two cases. First, there is an equilibrium in which the outcome converges to the first best benchmark with no asymmetric information as we increase the precision the experts' signals. Second, the inefficiency in communication also converges to zero as the number of experts increases, even when the residual noise in the experts' private signals is large and all the experts have significant and similar (but not necessarily identical) biases.
Keywords: Asymmetric Information; Cheap talk; Experts. (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (53)
Downloads: (external link)
https://doi.org/10.2202/1534-5963.1100 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:bejtec:v:advances.4:y:2004:i:1:n:1
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/bejte/html
DOI: 10.2202/1534-5963.1100
Access Statistics for this article
The B.E. Journal of Theoretical Economics is currently edited by Burkhard C. Schipper
More articles in The B.E. Journal of Theoretical Economics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().