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Revisiting Residential Segregation by Income: A Monte Carlo Test

Author

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  • 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, College of Business and College of Finance, 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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    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.

    More about this item

    Keywords

    residential segregation; Monte Carlo test; dissimilarity index;

    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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