SaMMF Workshop: Discrimination in Labor Markets
June 26, 2020
Richmond Fed Summary of Presented Research
Given the intense current public interest in the topic of discrimination, we invite you to a workshop, co-organized with Hanming Fang, exploring what we can learn about it from cutting-edge economic theory and empirical work. Our emphasis will be on insights from search-and-matching, networks, and learning, but we welcome researchers from all fields to participate in an active discussion.
The workshop consists of five talks. Each talk will have 30 minutes for the speaker to present and 10 minutes of Q&A. The format will be the same as our seminars and you can find its description here.
Program
1:00-1:40 pm EST
- Peter Norman (UNC) presenting “A Search Model of Statistical Discrimination” with Jiadong Gu [Slides]
1:40-2:20 pm EST
- J. Aislinn Bohren (U Penn) presenting “Inaccurate Statistical Discrimination: An Identification Problem” with Kareem Haggag, Alex Imas, & Devin G. Pope [Slides]
2:20-2:30 pm EST – Coffee Break
2:30-3:10 pm EST
- Suqin Ge (Virginia Tech) presenting “Testing for Asymmetric Employer Learning and Statistical Discrimination” with Andrea Moro and Beibei Zhu [Slides]
3:10-3:20 pm EST – Coffee Break
3:20-4:00 pm EST
- Arjada Bardhi (Duke) presenting “Early-Career Discrimination: Spiraling or Self-Correcting?” with Yingni Guo, and Bruno Strulovici [Slides]
4:00-4:40 pm EST
- Teddy Kim (Emory) presenting “Statistical Discrimination in Ratings-Guided Markets” with Yeon-Koo Che and Weijie Zhong [Slides]