A Price to Enter: Anticipatory Housing Market Sorting and Access Inequality under New York's Congestion Pricing
Mingzhi Xiao, Yuki Takayama

TL;DR
This paper investigates how New York City's congestion pricing influences housing prices, rental markets, and spatial equity, revealing early market sorting, segmentation, and implications for urban access and inequality.
Contribution
It provides empirical evidence on housing market responses and spatial effects of congestion pricing using advanced causal inference methods in New York City.
Findings
Housing prices inside toll zone declined by 3.3%
Rent declines of 3% observed, especially among lower-value segments
Price resilience among premium properties indicates market sorting
Abstract
This study examines how congestion pricing shapes housing market outcomes and spatial equity in New York City. Using high-frequency sales and rental data and a combination of propensity score matching difference-in-differences, geographic regression discontinuity, and event study designs, the analysis identifies distinct short-run adjustment patterns triggered by the policy announcement. Housing prices inside the toll zone fell by about 3.3% and rents by 3%, with the sharpest declines occurring immediately after the announcement. These effects weakened over time, and price resilience emerged among premium properties, indicating early market sorting and growing segmentation. The Geo-RDD results show a clear boundary penalty, with properties just inside the cordon experiencing more pronounced declines than otherwise similar properties just outside. Renters and lower-value segments were…
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Taxonomy
TopicsHousing Market and Economics · Urban, Neighborhood, and Segregation Studies · Regional Economics and Spatial Analysis
