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Schelling's Spatial Proximity Model of Segregation Revisited

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  • Romans Pancs

    (London School of Economics)

  • Nicolaas J. Vriend

    () (Queen Mary, University of London)

Abstract

Schelling [1969, 1971a, 1971b, 1978] presented a microeconomic model showing how an integrated city could unravel to a rather segregated city, notwithstanding relatively mild assumptions concerning the individual agents' preferences, i.e., no agent preferring the resulting segregation. We examine the robustness of Schelling's model, focusing in particular on its driving force: the individual preferences. We show that even if all individual agents have a strict preference for perfect integration, best-response dynamics will lead to segregation. What is more, we argue that the one-dimensional and two-dimensional versions of Schelling's spatial proximity model are in fact two qualitatively very different models of segregation.

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Paper provided by Society for Computational Economics in its series Modeling, Computing, and Mastering Complexity 2003 with number 15.

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Handle: RePEc:sce:cplx03:15

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Keywords: Neighborhood segregation; Myopic Nash Equilibria; Best-response dynamics; Markov chain; Limit-behavior.;

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References

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  1. Edward L. Glaeser & Jose A. Scheinkman, 2001. "Non-Market Interactions," Harvard Institute of Economic Research Working Papers 1914, Harvard - Institute of Economic Research.
  2. Larry E. Blume, 1996. "Population Games," Working Papers 96-04-022, Santa Fe Institute.
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  4. Arrow, Kenneth J, 1998. "What Has Economics to Say about Racial Discrimination?," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 91-100, Spring.
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  6. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-93, May.
  7. Assar Lindbeck & Sten Nyberg & Jšrgen W. Weibull, 1999. "Social Norms And Economic Incentives In The Welfare State," The Quarterly Journal of Economics, MIT Press, vol. 114(1), pages 1-35, February.
  8. J. Barkley Rosser Jr., 1999. "On the Complexities of Complex Economic Dynamics," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 169-192, Fall.
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Cited by:
  1. Jean Louis Dessalles & Denis Phan, 2005. "Emergence in multi-agent systems:Cognitive hierarchy, detection, and complexity reduction," Computing in Economics and Finance 2005 257, Society for Computational Economics.
  2. Juan Miguel Benito & Penélope Hernández, 2007. "Modelling Segregation Through Cellular Automata: A Theoretical Answer," Working Papers. Serie AD 2007-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  3. Sebastian Grauwin & Florence Goffette-Nagot & Pablo Jensen, 2009. "Dynamic models of residential segregation: Brief review, analytical resolution and study of the introduction of coordination," Working Papers 0914, Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure.
  4. Rennard, Jean-Philippe, 2006. "Artificiality in Social Sciences," MPRA Paper 1458, University Library of Munich, Germany.
  5. Bøg, Martin, 2007. "Is Segregation Robust?," MPRA Paper 8774, University Library of Munich, Germany.
  6. Daniel Richards, 2004. "Price Discrimination and the Long Boom," Discussion Papers Series, Department of Economics, Tufts University 0419, Department of Economics, Tufts University.

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