Jonathan A. Libgober

We introduce a selection criterion on behavioral biases in environments with learning, and show that it need not select for a bias-free worldview in some common applications.

See a recorded presentation of it here.

We exhibit an algorithm which ensures that agents play a Bayesian best reply (approximately).

We empirically study pre-registration patterns in economics, and discuss the implications of policies related to the timing of registration. The Mathematica notebook referenced in the Appendix can be found here.

We propose a classification algorithm with generalizes AdaBoost to a multi-class, which requires an intuitive and simple to check condition to be valid.

We experimentally document the distinct ways in which retractions of information influence beliefs.