Procuring Unverifiable Information
成果类型:
Article
署名作者:
Sharma, Salil; Tsakas, Elias; Voorneveld, Mark
署名单位:
Stockholm School of Economics; Maastricht University
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.2022.0085
发表日期:
2025
关键词:
markets
price
摘要:
We study settings where information in the form of Bayesian signals is acquired by an expert on behalf of a principal. Information acquisition is costly for the expert and crucially not verifiable by the principal. The expert is compensated by the principal with a menu of state -contingent payments. We provide a full characterization of the set of all menus that implement (respectively, strictly implement) each signal. Moreover, we provide a closed -form characterization for the expected cost for the cheapest such menu, which we call proxy cost of the signal. Surprisingly, in general, the proxy cost is neither increasing in the Blackwell order nor posterior separable, even when the expert's cost function is posterior separable itself. Subsequently, we study the full -agency problem (by introducing a downstream decision), thus endogenizing the signal. We show that there is always an optimal signal that can be strictly implemented, meaning that it is without loss of generality to exogenously restrict attention to strict implementation. As a result, similarly to Bayesian persuasion, the complexity of the principal's optimal signal is bounded by the cardinality of the state space. Finally, we present some applications of interest.