Behavioural Science Uncovered

In this episode we talk to Daniel Gottlieb from LSE about his paper Lapse-Based Insurance . In this paper Daniel studies why customers lapse on their life insurance payments and how this is related to insurance pricing using both a theoretical model and a survey data.

In this episode, we talk with Ben Golub about his paper “Signaling, Shame, and Silence in Social Learning” co-authored with Arun Chandrasekhar and He Yang. This paper studies how signaling, and shame-related concerns can reduce social learning. Throughout the conversation, Ben also shares helpful pieces of advice for young researchers ranging from working on multiple projects to writing better.

In this episode, we talk with Itzhak Gilboa, professor of Economics at the HEC Paris and Tel-Aviv University, and holder of the AXA Chair in Decision Sciences. We will talk about the contrast “expected vs. actual success” of two of his papers. “Case-Based Decision Theory” was expected to be very successful, but turned out not to be. The second paper, “Maxmin Expected Utility with Non-Unique Prior” was not expected to be a big deal, but is now listed as the most cited and the most relevant paper in the Journal of Mathematical Economics. Tune in for a discussion centered around the development of the ideas, the publication process, and to learn about axiomatic decision theory.

In this episode we talk to Aurélien Baillon from Erasmus University Rotterdam about his papers Bayesian Markets to Elicit Private Information and Simple Bets to Elicit Private Signals. In this work Aurélien studies how we can elicit private information about questions for which we cannot verify if the subject responds truthfully, such as her subjective belief about whether she liked a product.

In this episode, we have a power couple joining us. We talk with Aislinn Bohren from the University of Pennsylvania and Alex Imas from the Chicago Booth School of Business about their joint paper “The Dynamics of Discrimination: Theory and Evidence", co-authored with Michael Rosenberg. They conduct a natural field experiment to identify the dynamics of discrimination and its underlying source. The authors post content on a large online platform and exogenously vary the gender and evaluation histories of the associated accounts. When no evaluation history is available, questions posted to female accounts earn less reputation than questions posted to male accounts. However, the direction of discrimination reverses as more reputation is built. When content is posted to advanced accounts, women’s posts are favoured over men’s. Tune in for a discussion centered around the idea, the design, and the logistical implementation of the paper that has won the 2020 Exeter prize.