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Political and racial neighborhood sorting: How is it changing?

Author

Listed:
  • Keith Ihlanfeldt

    (Florida State University)

  • Cynthia Fan Yang

    (Florida State University)

Abstract

It is well known that the racial composition of a neighborhood influences who chooses to live there. Less established is whether the political party mix of the neighborhood influences neighborhood choice. In this paper, we study racial and political neighborhood sorting, their interaction, and how they are changing over time. Our methodology involves the estimation of a conditional logit model with data on hundreds of thousands of homebuyers whose race and political affiliation are known. The neighborhood choices of homeowners categorized by race and party are explained by a typology that defines neighborhoods by their dominance of a particular party and race/ethnicity. We find that both Democrats and Republicans prefer living in a neighborhood that matches their race and political party, but both show an increased willingness to live in a non-matched neighborhood over the past decade. Our results are encouraging, suggesting that both political and racial/ethnicity neighborhood segregation may subside in the future.

Suggested Citation

  • Keith Ihlanfeldt & Cynthia Fan Yang, 2024. "Political and racial neighborhood sorting: How is it changing?," Public Choice, Springer, vol. 198(1), pages 161-187, January.
  • Handle: RePEc:kap:pubcho:v:198:y:2024:i:1:d:10.1007_s11127-023-01120-6
    DOI: 10.1007/s11127-023-01120-6
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    References listed on IDEAS

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    More about this item

    Keywords

    Residential choice; Social interactions; Neighborhood effects; Conditional logit model;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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