Graduate Student Brown Bag Seminars Spring 2023
Wednesday, 4:00 – 5:00 pm
Seminars will be held in Sproul 2206.
Questions? Contact Xinchan Lu and Yong Ju Lee
When available, the papers may be downloaded as pdf files, which can be read or printed using the Acrobat Reader.
DATE | NAME | TITLE OF PRESENTATION |
---|---|---|
4/05/2023 |
Da Gong | COVID-19 Risk Level Dataset and Impact of China’s Zero-COVID Policy on Economic |
4/12/2023 |
Michael Yonezawa | Library orientation for graduate students |
4/19/2023 |
Ruinan Zhao | The Impacts of Granting Undocumented Immigrants Driver’s Licenses on Fatal Crashes |
4/26/2023 | Anh Tran | Linear Discriminant Analysis (LDA) With Many Highly Correlated Predictors |
5/03/2023 | Monika Baloda | The Tech Decoupling |
5/10/2023 | Yong Ju Lee | Nonparametric estimation of structural equation under conditional heteroscedasticity |
5/17/2023 |
Yifei Ding | Deep learning for individual heterogeneity with generated regressors |
5/24/2023 |
Daanish Padha | A semi-supervised predictive model in high dimensions |
5/31/2023 |
Murilo Silva | Pricing Climate Disasters |
6/07/2023 |
Begum Tunc | Does Training Provide Evidence on Asymmetric Employer Learning? |
6/14/2023 |
Rajveer Jat | The Vanishing Productivity Gap |