Research

My research is in microeconomic theory, with a focus on information economics, learning, and networks.

Job Market Paper

Recursive Bayesian Compression and False Certainty

Abstract: This paper studies how recursively compressing beliefs into marginal assessments can distort Bayesian learning, even when the learner observes every signal and knows the correct statistical model. I characterize which false states can become self-reinforcing under this form of belief compression, show that false certainty can arise robustly from interior beliefs, and identify exactly when marginal records contain enough information to reproduce full Bayesian updating.

Working Papers

• Finite Communication and the Nonmonotone Value of Network Mixing

• Information Overload under Rational Learning
  with Sudipta Sarangi and Hector Tzavellas

• Free Disposal with Costly Access
  with Sudipta Sarangi and Hector Tzavellas

• Learning Networks
  with Promit K. Chaudhuri, Sudipta Sarangi, and Hector Tzavellas

Work in Progress

• A Citizen Candidate Model with Public Funding
  with Euncheol Shin