Project selection with partially verifiable information
Sumit Goel, Wade Hann-Caruthers

TL;DR
This paper analyzes a principal-agent project selection problem with private, partially verifiable information, characterizing optimal mechanisms and revealing a simple cutoff structure for two projects.
Contribution
It introduces a characterization of implementable mechanisms under partial verifiability and demonstrates the optimality of cutoff mechanisms in two-project scenarios.
Findings
Optimal mechanisms are characterized under partial verifiability.
In two-project cases, the optimal mechanism is a simple cutoff rule.
Evidence supports the ally-principle of delegating more authority to aligned agents.
Abstract
We consider a principal agent project selection problem with asymmetric information. There are projects and the principal must select exactly one of them. Each project provides some profit to the principal and some payoff to the agent and these profits and payoffs are the agent's private information. We consider the principal's problem of finding an optimal mechanism for two different objectives: maximizing expected profit and maximizing the probability of choosing the most profitable project. Importantly, we assume partial verifiability so that the agent cannot report a project to be more profitable to the principal than it actually is. Under this no-overselling constraint, we characterize the set of implementable mechanisms. Using this characterization, we find that in the case of two projects, the optimal mechanism under both objectives takes the form of a simple cutoff…
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