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 European Regional Science Association in its series ERSA conference papers with number ersa11p862.
Date of creation: Sep 2011
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Other versions of this item:
- 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," Sciences Po publications 2011-05, Sciences Po.
- 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
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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.
- Sylvain Barde, 2011. "Ignorance is bliss: rationality, information and equilibrium," Documents de Travail de l'OFCE 2011-04, Observatoire Francais des Conjonctures Economiques (OFCE).
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