Assistant Professor
Department of Economics
University of Pennsylvania

Research Affiliate in Industrial Organization
Center for Economic Policy and Research Development (CEPR)

Contact Information
Phone: (908) 432-7889


Research Interests

I study various topics in microeconomics with a focus on models of information, including learning models where individuals have information-processing biases, and how information influences equilibrium payoffs and behavior in dynamic games. I also work on questions related to discrimination, the optimal design of experiments and contracting, with applications to designing ratings systems and structuring online labor markets.

Publications & Working Papers

  1. "Informational Herding with Model Misspecification.Journal of Economic Theory (2016).
  2. "Optimal Design of Experiments in the Presence of Interference," with S. Baird, C. McIntosh and B. Ozler. Accepted at Review of Economics & Statistics (2017). 
            Replication Files
            Design software (cited below)
  3. "The Language of Discrimination: Using Experimental versus Observational Data," with A. Imas and M. Rosenberg. In preparation for the American Economic Association (Papers & Proceedings) (2018).
  4. "Bounded Rationality and Learning: A Framework and a Robustness Result," with D. Hauser. R&R at Econometrica, (2017).
  5. "Using Persistence to Generate Incentives in a Dynamic Moral Hazard Problem." R&R at Theoretical Economics, (2016).
  6. "The Dynamics of Discrimination: Theory and Evidence," with A. Imas and M. Rosenberg, (2017).
  7. "Optimal Contracting with Costly State Verification, with an Application to Crowdsourcing," with T. Kravitz, (2016).
  8. "Collective Search with Private Information," with S.N. Ali.

Work in Progress

  1. "Information Design in Misspecified Learning Models," with D. Hauser. (extended abstract)
  2. "Mediated Persistence."


A. Bohren, P. Staples, S. Baird, C. McIntosh and B. Ozler, (2016). Power Calculation Software for Randomized Saturation Experiments, Version 1.0. Available from

Environments: R, Python, Matlab, Graphical User Interface (GUI)