现代产业经济学系列讲座第165期
时 间：2019年2月20日（周三），15:30-17:00
地 点：史带楼303室
题 目：Bayesian Identification: A Theory for State-Dependent Utilities
主讲人：Dr. Jay Lu（Assistant Professor at UCLA Department of Economics）
主持人：陆卓然博士（产业经济学系助理教授）
摘要：We provide a revealed-preference methodology for identifying beliefs that allows for utilities to vary across states. A notion of comparative informativeness is introduced that is weaker than the standard Blackwell ranking. We show that beliefs and utilities can be identified using stochastic choices from two informational treatments where one is strictly more informative than another. Moreover, if the signal structure is known, then stochastic choice from a single treatment is enough for identification. These results illustrate novel identification methodologies unique to stochastic choice. Applications include identifying discrimination and biases in job hiring, college admissions and medical advice.
主讲人简介: Jay Lu received his Ph.D. from Princeton and is an Assistant Professor of Economics at UCLA. He is an economic theorist with research interests in decision theory, information economics and behavioral economics. He has published in Econometrica and the Journal of Political Economy.
产业经济学系
2019-2-21
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