Skip to main content

University of Michigan School of Information

Menu

SBEE seminar series: Erik Snowberg

12/01/2020, 10:00 am - 11:15 am
Online

Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)

Abstract:

This talk will be on a substantial revision of this paper: http://www.its.caltech.edu/~snowberg/papers/DOSE2.pdf

Readers of the paper have raised a number of concerns, and we have addressed almost all of them in a new, 1,000-person representative survey. The paper above can be seen as a “pre-registration” of sorts for the current iteration, which we will present for the first time at this talk.

Speaker Bio:

Erik Snowberg

Erik Snowberg is the Canada Excellence Research Chair in Data-Intensive Methods in Economics at the Vancouver School of Economics, University of British Columbia. Before joining UBC, he was Professor of Economics and Political Science at Caltech where he was since completing his PhD at Stanford in 2008. His research has two foci: using social science theory to design better experiments that involve people, with applications in medicine and economic development; and combining behavioral economics with political economy to better understand the roots of partisan politics and its effects on policy. He holds undergraduate degrees in Math and Physics from MIT. Along with his position at UBC, he is a Research Associate with the National Bureau of Economic Research, and a Research Fellow at CESifo in Munich.

 

For information on how to watch this lecture and sign up for the SBEE mailing list to receive notice of upcoming events, please visit the SBEE website: 
https://umbee.github.io/SBEE_Seminars