A Price to Enter: Anticipatory Housing Market Sorting and Access Inequality under New York's Congestion Pricing
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 more exposed to early adjustment pressures, while implementation-stage effects were limited. The findings suggest that congestion pricing can reshape urban space not only by altering mobility incentives but also by redistributing access and opportunity. Equity-oriented design that includes early-stage support for boundary neighborhoods and renters, along with reinvestment of revenues into untolled transit access, is important for ensuring that the benefits of congestion pricing are shared rather than concentrated.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.