题  目：Sad Scales and Happy Times: Eliciting Cardinal Information from Ordered Response Data

报告人：刘烁   助理教授  北京大学光华管理学院

主持人：叶兵   副教授   浙江大学经济学院

zoom在线会议 （会议 ID：616 8700 4243）

时间：2020年6月26日  周五  上午9:30-11:00

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摘要：

Surveys have become an important tool in economics and in the social science more broadly. However, it is well known that common methods (e.g., ordered probit) used to analyze  ordinal survey data require strong, and often unjustified distributional assumptions. In this paper, we propose using observable survey response times to solve that problem. Our main identifying assumption is that individual response time is decreasing in the distance between the value of the latent variable and an indecision threshold. We provide conditions under which the expected values of the latent variables can be compared across groups, even without making any distributional assumptions. We show how our method can be implemented in practice by applying it to a survey conducted on the Amazon Mechanical Turk.

个人简介：

刘烁，2019年毕业于瑞士苏黎世大学经济系，获博士学位，现为北京大学光华管理学院应用经济系助理教授。目前主要研究领域为组织经济学，产业组织理论，机制设计和博弈论。研究成果发表于Theoretical Economics, RAND Journal of Economics, European Economic Review, Games and Economic Behavior, Economic Theory等国际知名学术期刊。

CRPE秘书处
2020-6-19