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Revisiting Residential Segregation by Income: A Monte Carlo Test

Author

Listed:
  • Junfu Zhang

    (Research Fellow, Public Policy Institute of California, U.S.A.)

Abstract

A long-standing hypothesis states that racial housing segregation in the U.S. results from the income inequalities between blacks and whites. This paper reexamines this hypothesis with a new methodology. We present a Monte Carlo study to show that segregation by income explains only a small proportion of the high level of segregation.

Suggested Citation

  • Junfu Zhang, 2003. "Revisiting Residential Segregation by Income: A Monte Carlo Test," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 2(1), pages 27-37, April.
    • Handle: RePEc:ijb:journl:v:2:y:2003:i:1:p:27-37
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    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.02-1/pdf/vol_2-1-3.pdf
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    References listed on IDEAS

    as
    1. Julian Besag & Peter J. Diggle, 1977. "Simple Monte Carlo Tests for Spatial Pattern," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 327-333, November.
    2. Reynolds Farley, 1977. "Residential segregation in urbanized areas of the United States in 1970: An analysis of social class and racial differences," Demography, Springer;Population Association of America (PAA), vol. 14(4), pages 497-518, November.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Junfu Zhang, 2011. "Tipping And Residential Segregation: A Unified Schelling Model," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 167-193, February.

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    More about this item

    Keywords

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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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