2019/11/19 by Nicolas Houy, Houy, Nicolas
Economics, Econometrics and Finance · Physics and Astronomy · Social Sciences · #FOS: Physical sciences #Housing Market and Economics #Physics and Society (physics.soc-ph) #Regional Economics and Spatial Analysis #Urban, Neighborhood, and Segregation Studies #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.1911.08191
arxiv created 2019/11/19 · openalex publication_date 2019/11/19 · arxiv updated 2019/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In Schelling's segregation model, the successive moves of agents optimizing their own locations lead to a suboptimal segregated distribution of the population, even though all agents have the same preference for mixed neighborhoods. One of the main assumptions underlying this general result of segregation models is that agents rely on comparisons between instantaneous utilities in order to make their moving decisions. On the contrary and certainly more reasonably, we assume in this article that agents forecast later states using a linear extrapolation of past states heuristic in order to make their decisions. We show that for a relatively small set of parameters, considering forecasting agents allows to dramatically reduce sub-optimality in a framework close to Schelling's model.