Research
How shocks, neighbors, and access become housing-market outcomes.
My research 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.
- Research paper Spatial difference-in-differences · Local capitalization
The Heterogeneous Impact of a Homicide on Nearby Property Values Across Demographic Characteristics
The paper treats the precise timing and location of a homicide as a plausibly exogenous shock to perceived neighborhood safety, conditional on local time effects and observed property and incident characteristics. A spatial difference-in-differences design compares the change in log sale prices within 0.1 miles with contemporaneous changes in the 0.1-to-0.2 and 0.2-to-0.3 mile rings, using a four-year event window and census-block-by-year fixed effects. The identifying assumption is local parallel trends: absent the homicide, transaction prices in the inner and outer rings would have evolved similarly. Pre-event balance, graphical trends, false event dates, and a homicide-area-by-year specification probe that counterfactual. The preferred estimate is a 4.8% decline within 0.1 miles, with no detectable decline in the next two rings; the estimand applies to homes that transact.
73,082 sales · Block × year fixed effects · False-date tests · 4.8% within 0.1 mile
Read the paper (PDF) - Research paper Causal inference · Nearest-neighbor design
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 the paper (PDF) - Research paper Demand shock · Difference-in-differences
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 the paper (PDF)