Information design in matching problems

Information design in matching problems: Evidence from an online experiment

With Lenka Fiala and Sulagna Dasgupta.

Abstract: In one-sided matching settings such as school choice and task allocation, objects are allocated to agents based on agent preferences. However, agents may not always know, a priori, their preferences over the objects, because they do not have enough information. In this context, we experimentally investigate the question: How should a benevolent planner optimally reveal information to the agents to maximize welfare? To this end, we conduct an online experiment to test the theoretical predictions of Dasgupta (2020) who proposes recommendations, and identify behavioral explanations in case of a possible mismatch between model and behavior in the experiment.

[in analysis phase]

Postdoctoral researcher

My research interests include experimental economics, behavioral economics and virtual reality.