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.
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Bibliographic InfoPaper provided by Sciences Po in its series Sciences Po publications with number 2011-05.
Date of creation: Mar 2011
Date of revision:
Information theoretic measure; potential function; Schelling segregation model.;
Other versions of this item:
- 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," Documents de Travail de l'OFCE 2011-05, Observatoire Francais des Conjonctures Economiques (OFCE).
- 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
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.:
- 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," Sciences Po publications 2011-04, Sciences Po.
- Sylvain Barde, 2011. "Ignorance is bliss: rationality, information and equilibrium," Studies in Economics 1103, Department of Economics, University of Kent.
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