EconPapers    
Economics at your fingertips  
 

Back to the Future: A Simple Solution to Schelling Segregation

Sylvain Barde ()

ERSA conference papers from European Regional Science Association

Abstract: The 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.

Date: 2011-09
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www-sre.wu.ac.at/ersa/ersaconfs/ersa11/e110830aFinal00862.pdf (application/pdf)

Related works:
Working Paper: Back to the future: a simple solution to schelling segregation (2011) Downloads
Working Paper: Back to the future: a simple solution to schelling segregation (2011) Downloads
Working Paper: Back to the future: a simple solution to schelling segregation (2011) Downloads
Working Paper: Back to the Future: A Simple Solution to Schelling Segregation (2011) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa11p862

Access Statistics for this paper

More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().

 
Page updated 2021-05-01
Handle: RePEc:wiw:wiwrsa:ersa11p862