This paper explores how spatial spillovers define neighborhoods and drive neighborhood change through a stylized computable equilibrium model of income-based residential sorting. We find three main results. First, stronger spillovers create larger, more distinct neighborhood clusters even when the spatial scope of externalities is small. Second, spillovers make neighborhoods resistant to small change but also susceptible to rapid shifts between equilibrium states. Third, stronger spillovers concentrate change at cluster boundaries and isolated locations rather than neighborhood interiors. Extending Schelling-like insights to income sorting dynamics, the model treats neighborhood shape as an endogenous outcome determined by decentralized household location choices mediated through housing markets. The framework helps explain persistent urban segregation patterns, neighborhood resilience, and the geography of neighborhood change, offering new approaches for linking spatial spillovers to urban spatial structure and dynamics.
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Strong Spatial Spillovers Determine Neighborhood Shape and Neighborhood Change
February 2026
WP 26-11 – This paper explores how spatial spillovers — changes in the perceived value of a location as a result of the choices of others — affect how neighborhoods are shaped and how they change over time.