The (Human) Sampler's Curses

成果类型:
Article
署名作者:
Thordal-Le Quement, Mark
署名单位:
University of East Anglia
刊物名称:
AMERICAN ECONOMIC JOURNAL-MICROECONOMICS
ISSN/ISSBN:
1945-7669
DOI:
10.1257/mic.20150009
发表日期:
2016
页码:
115-148
关键词:
eliciting information aggregation
摘要:
We present a cheap talk model in which a receiver (R) sequentially consults multiple experts who are either unbiased or wish to maximize R's action, bias being unobservable. Consultation is costly and R cannot commit to future consultation behavior. We find that individual expert informativeness negatively relates to consultation extensiveness and expert trustworthiness due to biased experts' incentive to discourage further consultation by mimicking unbiased experts. We identify three (sampler's) curses: R may lose from an increase in the number or in the trustworthiness of experts as well as from a decrease in consultation costs.
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