This project is using large-scale datasets to identify the size of existing mortgage markets. Identifying the boundaries of mortgages markets will be useful for understanding under what regions different banks compete. Students interested in finance or empirical work using machine learning or networks will be interested in this project.
The RA on this project would first help to assess the different papers in the literature that study banking competition and their market definitions. They would also be expected to work on data clean-up, linking two large housing datasets together. This analysis would then lead to replication of different analyses using this cleaned up data.
Requisite Skills and Qualifications:
Experience in Stata, R, or Python