Publications
Spatial Clustering of Natural Disasters, Selection in Migration, and Economic Outcomes
Forthcoming in Economic Development and Cultural Change [Link] [Manuscript] [Supplementary Appendix]
Abstract: This paper shows that natural disasters with higher spatial clustering are associated with positive selection in migration. Focusing on extreme precipitation events in rural Chinese counties, I analyze their effects using census and rainfall data within a difference-in-differences framework. The results show that natural disasters significantly increase out-migration, primarily by worsening local economic conditions. More spatially clustered disasters induce stronger response from younger, male, and better-educated individuals, who are associated with longer migration distances and better economic outcomes. A migration decision model suggests that more spatially clustered disasters may exacerbate inequalities in mobility. Targeted subsidies for individuals with lower productivity and higher migration costs could help promote more equitable access to economic opportunities.
Presentations:
Southern Economic Association (SEA) Annual Meeting, Presidential Session, Tampa, FL 2025
Midwest Economics Association (MEA) Annual Meetings, Kansas City, MO 2025
Awards:
James A. Papke Graduate Fellowship for the Study of Public Sector Economics, Purdue University, 2023
PGSG Travel Award, Purdue University, 2025
Job Market Paper
Migration Restrictions, College Choices, and Spatial Skill Sorting [Draft]
Abstract: College education is widely regarded as a pathway to local labor markets, particularly where migration frictions limit labor mobility. This paper examines how such frictions shape college choices in China, where mobility is constrained by both formal migration restrictions and informal barriers. Using a national administrative dataset on four-year college admissions from 2005 to 2011, I show that relaxing migration restrictions through hukou reforms enabled colleges in reformed cities to attract higher-quality students. The largest gains occurred in colleges located in economically more developed cities relative to students' origins, consistent with the mechanism of improved local labor market prospects. Counterfactual analysis based on a college choice model indicates that easing migration restrictions in major cities strengthens the sorting of stronger students into treated colleges and raises aggregate welfare, though the gains are unevenly distributed. Welfare increases further when students can freely access the highest-paying labor markets. These results highlight the role of both formal and informal migration frictions in shaping spatial skill sorting and welfare.
Presentations (* indicates scheduled):
American Economic Association (AEA) Annual Meeting*, Philadelphia, PA 2026
Southern Economic Association (SEA) Annual Meeting, Tampa, FL 2025
Western Economic Association International (WEAI) Annual Meeting, virtual day 2025
Midwest Economics Association (MEA) Annual Meetings, Kansas City, MO 2025
KDSA Research Symposium, West Lafayette, IN 2024
Award:
Best Presentation Winner Award, KDSA Research Symposium, 2024
Working in Progress
A Spatial General Equilibrium Model of College Choices with Idiosyncratic Matches (with Ben Zou)
[Preliminary draft available upon request]
Abstract: To understand how students make college choices and how skilled individuals are geographically distributed, we develop and estimate a spatial general equilibrium model in the context of China. The model features two stages: students first choose colleges while anticipating post-graduation migration costs; graduates then choose work locations. The framework incorporates idiosyncratic matches between students and colleges, which generate within-college quality dispersion, and idiosyncratic matches between graduates and locations, which capture heterogeneity in job fit. We parameterize these matches and derive gravity equations for both college and labor market choices. Preliminary results show that the gravity equations implied by the model closely match empirical patterns.