时间：12月4日（周四）10:30 a.m.-12:00

地点：北京大学经济学院302

主持老师：吴泽南，石凡奇（经院）；胡岠（国发院）

参与老师：胡涛，吴泽南，石凡奇（经院）；汪浩，胡岠，邢亦青（国发院）；翁翕，刘烁（光华）

主讲人：Kyle Chauvin（Assistant Professor of Economics at NYU Shanghai）

题目: Structural Properties of Bayesian Updating

摘要：

Using a simple, automaton-like model, this project identifies novel features of Bayesian updating and non-Bayesian heuristics. The model, called a learning rule, combines a set of belief states with a collection of transition functions over the beliefs. It highlights the features of updating that are preserved under belief relabeling. The project's main result characterizes the structure of Bayesian learning rules, in which beliefs are distributions over a latent state and transitions follow Bayes’rule. A survey of behavioral biases and heuristics identifies many familiar examples as structurally Bayesian and clarifies how and why other cases fail to be so.

主讲人介绍：

Kyle Chauvin is an Assistant Professor of Economics at NYU Shanghai. His research in microeconomic theory and behavioral economics investigates the consequences of imperfect learning for communication, persuasion, discrimination, and social networks. He completed his Ph.D. in economics at Princeton University and A.B. in applied mathematics at Harvard University.