| 主讲人简介： | Shuo Liu is Associate Professor of Economics at the Peking University Guanghua School of Management. His research interests include industrial and organizational economics, game theory, and mechanism design. His papers have been published in top academic journals in economics, such as the American Economic Review, Theoretical Economics, Journal of Economic Theory, Economic Journal, and RAND Journal of Economics. |
| 讲座简介： | Recent work has shown that response times contain information about willingness to pay (Cotet and Krajbich, 2021), preference intensity (Alós-Ferrer, Fehr and Netzer, 2021), happiness (Liu and Netzer, 2023), product quality (Card, DellaVigna and Taubinsky, 2023), and other latent variables that drive individual decision-making but are not directly observable. Based on a chronometric effect, decisions are faster when the latent intensity is larger. Response time data can therefore be used to learn about properties of latent distributions instead of assuming these properties. This can help to solve severe identification problems that the econometric literature has noticed (e.g., Bond and Lang, 2019). In this talk, I will begin by providing an overview of the technique developed by Liu and Netzer (2023) for analyzing response time data. I will then present some preliminary findings from an ongoing project, where my coauthors and I ask the general question which properties of distributions can be identified with the help of response time data. |
