Research

This project examines how mandatory diversity statements in faculty job applications influence hiring and student outcomes. Using comprehensive text from JOE and APSA postings linked to institution–year–discipline hiring records, we classify DEI-related requirements and estimate their effects using staggered-adoption DiD estimators with entropy-balancing weights.

Homebuyers observe crime infrequently, recall it imperfectly, and often overweight unusually salient incidents. This paper studies how these behavioral frictions shape the spatial and temporal pattern of crime capitalization in housing prices. Using detailed incident-level crime data linked to repeat-sales transactions, I develop a flexible space–time kernel estimator that recovers the distance-decay and time-decay of crime's price impact.

This project examines how the expansion of dollar stores and low-nutrition retail environments contribute to obesity and metabolic health risks. Using store rollouts and quasi-experimental variation in food environments, I study how changes in access to calorie-dense, nutrient-poor options affect chronic disease outcomes.

We develop a statistical framework for diagnosing parameter identifiability and uncertainty in stochastic agent-based models (ABMs). The approach combines Monte Carlo experiments with simulation-based confidence intervals, providing generalizable tools for calibration, validation, and sensitivity analysis in complex ABMs.

This paper introduces large language models as agents in the classic Schelling segregation model to study how communication, narrative framing, and social context shape emergent spatial patterns.