Abstract
Information provision is a significant component of business-to-business interaction. Furthermore, the provision of information is often conducted bilaterally. This precludes the possibility of commitment to a grand information structure if there are multiple receivers. Consequently, in a strategic situation, each receiver needs to reason about what information other receivers get. Since the information provider does not know this reasoning process, a motivation for a robustness requirement arises: the provider seeks an information structure that performs well no matter how the receivers actually reason. In this paper, I provide a general method to study how to optimally provide information under these constraints. The main result is a representation theorem, which makes the problem tractable by reformulating it as a linear program in belief space. Furthermore, I provide novel bounds on the correlation among receivers’ beliefs, which provide even more tractability in some special cases. I illustrate the main result by solving for the optimal provision of information in a stylized model of contract research organizations, which are an integral part of the pharmaceutical industry.
Original language | English |
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Pages | 1-63 |
Number of pages | 63 |
Publication status | Published - 26 Mar 2020 |
Keywords / Materials (for Non-textual outputs)
- bilateral contracting
- information design
- robust design
- adversarial design
- belief manipulation
- belief distributions
- Bayes plausibility
- Frechet-Hoeffding bounds
- dependence bounds