Online Workshop this Thursday at Noon EST (UTC−05:00) - See you then!

[klop...@ucsc.edu]

Hi All,

We hope all is well. The third session of our online workshop is scheduled for Thursday, November 14, 2024, at 12 PM ET, and we super happy to have two excellent job market candidates, Kalyani Chaudhuri (UC Davis) and Keaton Ellis (UC Berkeley). They will split the hour into two 30-minute talks.

Kalyani will be presenting "Stereotype-Driven Gender Differences in Self-Promotion," and Keaton will present ``The Value of "Who" and "What" When Predicting Choice Under Risk.'' See their profiles and abstracts below. 

Session details:

Date:
November 14, 2024

Time: 
Noon Eastern Time (New York, Bogotá, Lima); 
11 AM Central Time (Texas, Mexico City); 
9 AM Pacific Time (California);
5 PM GMT

Zoom Link: https://ucsc.zoom.us/j/93091558925?pwd=YXJHQlJDMWozeXBDRWhmc3o4UElwUT09 
Zoom Meeting ID: 930 9155 8925
Passcode: 815362

Please mark your calendars. We look forward to seeing everyone at the workshop!

Best regards,

Paul and Kristian, on behalf of the Organizing Committee

____________

Talk Details:

Talk 1: Kalyani Chaudhuri (https://kalyanic.weebly.com/research.html)
Title: "Stereotype-Driven Gender Differences in Self-Promotion"
Abstract: This paper studies the gender gap in "self-promotion", or the phenomenon that men describe their professional skills more favorably than women in the labor market, which contributes to gender differences in career advancement. I investigate a novel source of the gender gap in self-promotion: stereotypes that one's own gender group is more competent than the other. I conduct experiments where participants in the role of workers take incentivized tests of knowledge in various gender-stereotypical domains, and describe their test performance to employers in each domain. I find that, controlling for true performance, both men and women self-promote more in domains where their own gender group is stereotypically more competent than the other. Importantly, women's self-promotion in male-typed domains is not significantly different from men's self-promotion in female-typed domains, and these findings are robust to alternate measures of stereotypes and self-promotion. Further experiments reveal that self-promotion is mostly driven by beliefs about own performance, and conditional on true performance, both men and women form higher beliefs in stereotypical domains. My findings suggest that the well-documented gender gap in self-promotion is driven not by men being more immodest or dishonest than women, but by social perceptions favoring men's abilities over women's. 

Talk 2: Keaton Ellis (https://sites.google.com/berkeley.edu/khkellis)
Title: The Value of "Who" and "What" When Predicting Choice Under Risk
Abstract: We investigate the predictive value-add of auxiliary covariates in a choice under risk setting. We start with a data set representative of the Dutch population, and simulate different levels of data availability by selectively removing demographic covariates, subject identifiers, or both. We use expected utility theory (EUT) as a benchmark model and evaluate its out-of-sample prediction performance against machine learning (ML) models. We show that identifying information is more valuable than demographic data, although both show significant improvement over choice data alone. EUT is competitive with ML models, in particular outperforming them on subjects whose choices are consistent with (monotonic) utility maximization. There is little heterogeneity across demographic groups. Overall, our results demonstrate the predictive power of simple identifying information while emphasizing the continued relevance of EUT amid advances in ML and AI.

_______________

Stay updated on our current and future events by visiting our website: www.webeas.org.