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Are Mixed Neighborhoods Always Unstable? Two-Sided and One-Sided Tipping

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  • Card, David
  • Mas, Alexandre
  • Rothstein, Jesse

Abstract

A great deal of urban policy depends on the possibility of creating stable, economically and racially mixed neighborhoods. Many social interaction models - including the seminal Schelling (1971) model -- have the feature that the only stable equilibria are fully segregated. These models suggest that if home-buyers have preferences over their neighborhoods' racial composition, a neighborhood with mixed racial composition is inherently unstable, in the sense that a small change in the composition sets off a dynamic process that converges to either 0% or 100% minority share. Card, Mas, and Rothstein (2008) outline an alternative "one-sided" tipping model in which neighborhoods with a minority share below a critical threshold are potentially stable, but those that exceed the threshold rapidly shift to 100% minority composition. In this paper we examine the racial dynamics of Census tracts in major metropolitan areas over the period from 1970 to 2000, focusing on the question of whether tipping is "two-sided" or "one-sided". The evidence suggests that tipping behavior is one-sided, and that neighborhoods with minority shares below the tipping point attract both white and minority residents.
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Suggested Citation

  • Card, David & Mas, Alexandre & Rothstein, Jesse, 2008. "Are Mixed Neighborhoods Always Unstable? Two-Sided and One-Sided Tipping," Department of Economics, Working Paper Series qt5923m4w4, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  • Handle: RePEc:cdl:econwp:qt5923m4w4
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    References listed on IDEAS

    as
    1. Edward L. Glaeser & Jose Scheinkman, 2000. "Non-Market Interactions," NBER Working Papers 8053, National Bureau of Economic Research, Inc.
    2. David Card & Alexandre Mas & Jesse Rothstein, 2008. "Tipping and the Dynamics of Segregation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 177-218.
    3. David M. Cutler & Edward L. Glaeser, 1997. "Are Ghettos Good or Bad?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 827-872.
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    Cited by:

    1. Easterly William, 2009. "Empirics of Strategic Interdependence: The Case of the Racial Tipping Point," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-35, June.
    2. Bezin, Emeline & Moizeau, Fabien, 2017. "Cultural dynamics, social mobility and urban segregation," Journal of Urban Economics, Elsevier, vol. 99(C), pages 173-187.
    3. Ioannides, Yannis M., 2015. "Neighborhoods to nations via social interactions," Economic Modelling, Elsevier, vol. 48(C), pages 5-15.
    4. Rosenthal, Stuart S. & Ross, Stephen L., 2015. "Change and Persistence in the Economic Status of Neighborhoods and Cities," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1047-1120, Elsevier.
    5. Caetano, Gregorio & Maheshri, Vikram, 2017. "School segregation and the identification of tipping behavior," Journal of Public Economics, Elsevier, vol. 148(C), pages 115-135.
    6. Cheng Boon Ong, 2017. "Tipping points in Dutch big city neighbourhoods," Urban Studies, Urban Studies Journal Limited, vol. 54(4), pages 1016-1037, March.
    7. Malone, Thom, 2020. "There goes the neighborhood does tipping exist amongst income groups?," Journal of Housing Economics, Elsevier, vol. 48(C).
    8. Jordi Jofre-Monseny & Matz Dahlberg & Peter Fredriksson, 2012. "On the dynamics of segregation," ERSA conference papers ersa12p832, European Regional Science Association.

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    More about this item

    JEL classification:

    • H0 - Public Economics - - General
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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