Managing Learning Structures

Hiroto Sato and Ryo Shirakawa

Papers from arXiv.org

Abstract: We develop a simple model of a designer who manages a learning structure. Agents have partial private information about a common-value good. The designer wishes to allocate the good to as many agents as possible without using monetary transfers. We formulate this environment as a mechanism design problem that nests social learning models and characterize an optimal mechanism under general distributions over private information. The optimal mechanism can be summarized by two parameters: one purely adjusts the allocation probability, while the other governs the amount of learning implicitly induced by allocation. Although the designer always prefers to allocate the good, managing incentives for learning leads the optimal mechanism to withhold allocation even when allocation is socially efficient. Our analysis brings the perspective of managing learning structures to market design and introduces a mechanism design approach to social learning.

Date: 2025-12
References: Add references at CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/2512.20001 Latest version (application/pdf)

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:arx:papers:2512.20001

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().