Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning

no code implementations • 22 Nov 2022 • Susan Athey, Undral Byambadalai, Vitor Hadad, Sanath Kumar Krishnamurthy, Weiwen Leung, Joseph Jay Williams

We design and implement an adaptive experiment (a ``contextual bandit'') to learn a targeted treatment assignment policy, where the goal is to use a participant's survey responses to determine which charity to expose them to in a donation solicitation.

Multi-Armed Bandits

Identification and Inference for Welfare Gains without Unconfoundedness

no code implementations • 9 Jul 2022 • Undral Byambadalai

This paper studies identification and inference of the welfare gain that results from switching from one policy (such as the status quo policy) to another policy.