IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v11y2005i4d10.1007_s10588-005-5588-4.html
   My bibliography  Save this article

The Emergence of Racial Segregation in an Agent-Based Model of Residential Location: The Role of Competing Preferences

Author

Listed:
  • Kan Chen

    (National University of Singapore)

  • Elena G. Irwin

    (Ohio State University)

  • Ciriyam Jayaprakash

    (Ohio State University)

  • Keith Warren

    (Ohio State University)

Abstract

Models of segregation dynamics have examined how individual preferences over neighborhood racial composition determine macroscopic patterns of segregation. Many fewer models have considered the role of household preferences over other location attributes, which may compete with preferences over racial composition. We hypothesize that household preferences over location characteristics other than racial composition affect segregation dynamics in nonlinear ways and that, for a critical range of parameter values, these competing preferences can qualitatively affect segregation outcomes. To test this hypothesis, we develop a dynamic agent-based model that examines macro-level patterns of segregation as the result of interdependent household location choices. The model incorporates household preferences over multiple neighborhood features, some of which are endogenous to residential location patterns, and allows for income heterogeneity across races and among households of the same race. Preliminary findings indicate that patterns of segregation can emerge even when individuals are wholly indifferent to neighborhood racial composition, due to competing preferences over neighborhood density. Further, the model shows a strong tendency to concentrate affluent families in a small number of suburbs, potentially mimicking recent empirical findings on favored quarters in metropolitan areas.

Suggested Citation

  • Kan Chen & Elena G. Irwin & Ciriyam Jayaprakash & Keith Warren, 2005. "The Emergence of Racial Segregation in an Agent-Based Model of Residential Location: The Role of Competing Preferences," Computational and Mathematical Organization Theory, Springer, vol. 11(4), pages 333-338, December.
    • Handle: RePEc:spr:comaot:v:11:y:2005:i:4:d:10.1007_s10588-005-5588-4
    DOI: 10.1007/s10588-005-5588-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-005-5588-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10588-005-5588-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Margo, Robert A., 1992. "Explaining the postwar suburbanization of population in the United States: The role of income," Journal of Urban Economics, Elsevier, vol. 31(3), pages 301-310, May.
    2. Bogart, William T. & Cromwell, Brian A., 2000. "How Much Is a Neighborhood School Worth?," Journal of Urban Economics, Elsevier, vol. 47(2), pages 280-305, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Arribas-Bel & Peter Nijkamp & Jacques Poot, 2014. "How Diverse can Spatial Measures of Cultural Diversity be? Results from Monte Carlo Simulations on an Agent-Based Model," Tinbergen Institute Discussion Papers 14-081/VIII, Tinbergen Institute.
    2. Daniel Arribas-Bel & Peter Nijkamp & Jacques Poot, 2016. "How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model," Environment and Planning A, , vol. 48(10), pages 2046-2066, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bayoh, Isaac & Irwin, Elena G. & Haab, Timothy C., 2002. "Flight From Blight Vs. Natural Evolution: Determinats Of Household Residential Location Choice And Suburbanization," 2002 Annual meeting, July 28-31, Long Beach, CA 19668, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    3. Christian A. L. Hilber, 2017. "The Economic Implications of House Price Capitalization: A Synthesis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(2), pages 301-339, April.
    4. Peng, Ying & Tian, Chuanhao & Wen, Haizhen, 2021. "How does school district adjustment affect housing prices: An empirical investigation from Hangzhou, China," China Economic Review, Elsevier, vol. 69(C).
    5. Edward L. Glaeser & Matthew E. Kahn, 2001. "Decentralized Employment and the Transformation of the American City," Harvard Institute of Economic Research Working Papers 1912, Harvard - Institute of Economic Research.
    6. Xiaozhou Ding & Christopher Bollinger & Michael Clark & William H. Hoyt, 2020. "How Do School District Boundary Changes and New School Proposals Affect Housing Prices," CESifo Working Paper Series 8069, CESifo.
    7. Huang, Robert & Kahn, Matthew E., 2024. "An economic analysis of United States public transit carbon emissions dynamics," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    8. Kuzey Yılmaz & Muharrem Yeşilırmak, 2023. "Access to transportation, residential segregation, and economic opportunity," Contemporary Economic Policy, Western Economic Association International, vol. 41(1), pages 103-127, January.
    9. Stephen Machin & Kjell G. Salvanes, 2016. "Valuing School Quality via a School Choice Reform," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(1), pages 3-24, January.
    10. Baum-Snow, Nathaniel & Hartley, Daniel, 2020. "Accounting for central neighborhood change, 1980–2010," Journal of Urban Economics, Elsevier, vol. 117(C).
    11. David N. Figlio & Maurice E. Lucas, 2000. "What's in a Grade? School Report Cards and House Prices," NBER Working Papers 8019, National Bureau of Economic Research, Inc.
    12. Shadi O. Tehrani & Shuling J. Wu & Jennifer D. Roberts, 2019. "The Color of Health: Residential Segregation, Light Rail Transit Developments, and Gentrification in the United States," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    13. John William Hatfield & Katrina Kosec & Luke P. Rodgers, 2024. "Housing values and jurisdictional fragmentation," Public Choice, Springer, vol. 201(1), pages 83-122, October.
    14. Ozhegov, Evgeniy & Kosolapov, Nikita & Pozolotina, Iuliia, 2017. "On dependence between housing value and school characteristics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 28-48.
    15. Fack, Gabrielle & Grenet, Julien, 2010. "When do better schools raise housing prices? Evidence from Paris public and private schools," Journal of Public Economics, Elsevier, vol. 94(1-2), pages 59-77, February.
    16. William J. Collins & Gregory T. Niemesh, 2024. "Income Gains and the Geography of the US Home Ownership Boom, 1940 to 1960," NBER Chapters, in: The Economic History of American Inequality: New Evidence and Perspectives, National Bureau of Economic Research, Inc.
    17. Jordan Rappaport, 2005. "The shared fortunes of cities and suburbs," Economic Review, Federal Reserve Bank of Kansas City, vol. 90(Q III), pages 33-60.
    18. Koşar, Gizem & Ransom, Tyler & van der Klaauw, Wilbert, 2022. "Understanding migration aversion using elicited counterfactual choice probabilities," Journal of Econometrics, Elsevier, vol. 231(1), pages 123-147.
    19. Christian A. L. Hilber, 2019. "Immobilienpreise und Immobilienzyklen und die Rolle von Angebotsbeschränkungen [The impact of local supply constraints on house prices and price dynamics]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 37-65, November.
    20. Chuanhao Tian & Wenjun Ji & Sijin Chen & Jinqun Wu, 2020. "The Time and Spatial Effects of A “City-County Merger” on Housing Prices—Evidence from Fuyang," Sustainability, MDPI, vol. 12(4), pages 1-26, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:comaot:v:11:y:2005:i:4:d:10.1007_s10588-005-5588-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.