Housing economist · Applied scientist
I study what moves housing markets, then build systems that turn evidence into decisions.
My work began with causal inference, spatial econometrics, and property records. Today I bring the same discipline to production data science and applied AI.
Current application Applied Scientist, Pricing at Opendoor ↗
- 01 Housing markets
- 02 Causal inference
- 03 Production AI
Housing Market Research
My dissertation examines how localized shocks affect property values, how changes in neighborhood tenure affect homeowner mobility, and how broader shifts in demand change the value of 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)
Application
Application Materials
My résumé summarizes my professional experience. My cover letter explains why my background is particularly relevant to this position.
Prepared for the Applied Scientist, Pricing role at Opendoor.