cv
Last updated December 2025
Basics
| Name | Minnie Cui |
| minnie.cui@wisc.edu | |
| Url | https://minnie-cui.github.io/ |
Work
-
2024 - Present Research Assistant to Prof. Jean-Francois Houde
University of Wisconsin-Madison
-
2022 - Present External Academic Consultant
Bank of Canada
-
2021 - 2022 Analyst
Bank of Canada
-
2018 - 2021 Research Assistant
Bank of Canada
Education
-
2022 - Present Madison, WI
PhD
University of Wisconsin-Madison
Economics & Finance
-
2021 - 2022 Austin, TX
MS
University of Texas at Austin
Data Science
-
2014 - 2018 Toronto, ON
BA Hons.
University of Toronto
Economics
Awards
- 2025
Best Third Year Finance Research Paper Scholarship
University of Wisconsin-Madison
- 2024, 2025
Juli Plant Grainger Summer Research Fellowship
University of Wisconsin-Madison
- 2022 - 2026
Doctoral Fellowship
Social Sciences and Humanities Research Council
- 2020
Women in Economics Scholarship
Bank of Canada
- 2018
Best Undergraduate Paper
Canadian Economics Association
- 2017
President's Scholar Program Scholarship
University of Toronto
Publications
-
2025 Adverse Selection and Learning in Consumer Credit Market
Working Paper
This paper highlights a trade-off in credit markets between regulatory safeguards for informed consent and the informational frictions they can amplify. We find that requiring banks to garner explicit consent prior to raising clients' credit limits induces disproportionately higher take-up among riskier borrowers, worsening the risk profile of accounts receiving limit increases relative to the pre-policy regime. In response, we find banks decreased the size of the average credit limit increase and simultaneously gave more frequent limit increases. We develop a precautionary savings model with endogenous credit limits to study the role of learning and adverse selection in markets with incomplete information. We show that learning from acceptance decisions can rationalize our empirical results. Our model suggests that requiring consumer consent reduced lender profits but had negligible effects for consumers. Our key counterfactual demonstrates that lowering lender patience while requiring consumer consent would decrease both the frequency and size of limit increases.
Skills
| Coding | |
| Python | |
| Julia | |
| Stata | |
| Matlab | |
| R | |
| HTML/CSS |
| Computing | |
| Azure | |
| AWS | |
| Slurm-based HPCs |
| Data | |
| Web-scraping | |
| Modeling | |
| Simulation |
Languages
| English | |
| Native |
| Mandarin | |
| Native |
| French | |
| Fluent |
| German | |
| Beginner |