Back to the future: a simple solution to schelling segregation
AbstractThe maximum entropy methodology is applied to the Schelling model of urban segregation in order to obtain a reliable prediction of the stable configuration of the system without resorting to numerical simulations. We show that this approach also provides an implicit equation describing the distribution of agents over a city which allows for directly assessing the effect of model parameters on the solution. Finally, we discuss the information theoretic motivation for applying this methodology to the Schelling model, and show that it effectively rests on the presence of a potential function, suggesting a broader applicability of the methodology.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Observatoire Francais des Conjonctures Economiques (OFCE) in its series Documents de Travail de l'OFCE with number 2011-05.
Date of creation: Mar 2011
Date of revision:
Other versions of this item:
- Sylvain Barde, 2011. "Back to the future: a simple solution to schelling segregation," Sciences Po publications 2011-05, Sciences Po.
- Sylvain Barde, 2011. "Back to the Future: A Simple Solution to Schelling Segregation," ERSA conference papers ersa11p862, European Regional Science Association.
- Sylvain Barde, 2011. "Back to the Future: A Simple Solution to Schelling Segregation," Studies in Economics 1104, Department of Economics, University of Kent.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
- J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Foley Duncan K., 1994. "A Statistical Equilibrium Theory of Markets," Journal of Economic Theory, Elsevier, vol. 62(2), pages 321-345, April.
- Alexis Toda, 2010. "Existence of a statistical equilibrium for an economy with endogenous offer sets," Economic Theory, Springer, vol. 45(3), pages 379-415, December.
- Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-93, May.
- Sebastian Grauwin & Florence Goffette-Nagot & Pablo Jensen, 2009.
"Dynamic models of residential segregation: Brief review, analytical resolution and study of the introduction of coordination,"
0914, Groupe d'Analyse et de Théorie Economique (GATE), Centre national de la recherche scientifique (CNRS), Université Lyon 2, Ecole Normale Supérieure.
- Florence Goffette-Nagot & Pablo Jensen & Sébastian Grauwin, 2009. "Dynamic models of residential segregation: Brief review, analytical resolution and study of the introduction of coordination," Post-Print halshs-00404400, HAL.
- Sylvain Barde, 2011.
"Ignorance is bliss: rationality, information and equilibrium,"
Sciences Po publications
2011-04, Sciences Po.
- Sylvain Barde, 2011. "Ignorance is bliss: rationality, information and equilibrium," Documents de Travail de l'OFCE 2011-04, Observatoire Francais des Conjonctures Economiques (OFCE).
- Sylvain Barde, 2011. "Ignorance is bliss: rationality, information and equilibrium," Studies in Economics 1103, Department of Economics, University of Kent.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Francesco Saraceno).
If references are entirely missing, you can add them using this form.