Economic Theory Conference III
July
21-22
2017
Event Recap
Many economic situations require one to examine how information evolves and affects dynamic decision making. The economy has changed with the advent and development of new technology to track, store, and disseminate information over time. Meanwhile, economic theory has changed, fueled by recent innovations in information modeling. This conference explored recent advances related to dynamics and information.
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Agenda
Friday, July 21, 2017
Learning from Others' Outcomes
Alexander Wolitzky, Massachusetts Institute of Technology
Reputation and Information Design
David Pearce, New York University
Leverage Dynamics Without Commitment
Zhiguo He, Fuji Bank and Heller Professor of Finance, Booth School of Business
Free (Ad)vice
Matthew Mitchell, University of Toronto
The Design of Credit Information Systems
V. Bhaskar, University of Texas at Austin
Caroline Thomas, University of Texas at Austin
Saturday, July 22, 2017
Credible Mechanism Design
Mohammad Akbarpour, Assistant Professor of Economics, Stanford University
The Speed of Sequential Asymptotic Learning
Omer Tamuz, Caltech
Evaluating Strategic Forecasters
Rahul Deb, University of Toronto
Testable Forecasts
Luciano Pomatto, Caltech
Persuasion in Global Games with Application to Stress Testing
Alessandro Pavan, Northwestern University and CEPR