Dissertation research
How shocks, neighbors, and access become housing-market outcomes.
My dissertation uses property records and quasi-experimental methods to examine how localized shocks affect prices, how neighborhood tenure affects homeowner mobility, and how changing demand reprices location.
- Chapter 01 Spatial econometrics · Difference-in-differences
When a local shock occurs, which properties reprice, by how much, and over what distance?
The Heterogeneous Impact of a Homicide on Nearby Property Values Across Demographic Characteristics
I linked 73,082 Miami-Dade home sales to 1,200 homicides to estimate how an unexpected neighborhood shock entered the price of a home. Prices fell 4.8% within one-tenth of a mile, with no significant effect farther away.
73,082 sales · 1,200 shocks · 4.8% local price effect
Read Chapter 01 (PDF) - Chapter 02 Causal inference · Nearest-neighbor design
How do changing neighborhood conditions affect a homeowner’s likelihood of selling?
Do Renters Actually Cause Homeowners to Move? New Evidence from a Nearest Neighbors Design
I used 67,578 parcels and 18,811 immediate next-door observations to test whether a new rental neighbor changed a homeowner’s probability of moving. The design compared nearby homes on the same block and measured how responses varied with rental penetration, tenant turnover, and corporate ownership.
67,578 parcels · 18,811 next-door observations · heterogeneous responses
Read Chapter 02 (PDF) - Chapter 03 Demand shock · Difference-in-differences
What happens when a market-wide shock changes what buyers value about location?
The Impact of Close Proximity to Metrorail Stations on Property Values during COVID-19 in Miami-Dade County
I studied 68,571 home sales around Metrorail stations and used COVID-19 as a structural break. The work estimated how remote work and changed commuting behavior repriced proximity to transit across distance bands.
68,571 sales · 12.2% nearest-band change · 3.9% change out to one mile
Read Chapter 03 (PDF)