Occupational segregation in the multidimensional case: Decomposition and tests of significance
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2011, Computers, Environment and Urban SystemsCitation Excerpt :Taeuber and Taeuber (1965) conducts a number of small simulations of Augusta, Georgia, in order to determine if Augusta’s observed segregation level is different from a level that could have occurred from a random allocation of black and white households, and if the difference between Augusta’s and Atlanta’s segregation levels could have occurred from chance variation. In taking the random distribution idea even further, Cortese, Falk, and Cohen (1976) and Winship (1977) use Monte Carlo methods to compute expected values for D for various proportions of the minority population in a city (see Boisso, Hayes, Hirschberg, & Silber, 1994; Noreen, 1989; Carrington & Troske, 1997 for other imlimentations of permutation based approaches). In more recent work, Zhang (2003) implements permutations of empirical data within various US cities to separate out patterns of racial and income segregation, using D as the test statistic.
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2010, Mathematical Social SciencesCitation Excerpt :The study of overall segregation when individuals are classified according to more than two categories has received increasing attention among scholars in recent years. In this vein, Silber (1992) and Boisso et al. (1994) extend the binary segregation indexes proposed by Karmel and MacLachlan (1988) and Silber (1989), respectively. In addition, Reardon and Firebaugh (2002) suggest new overall measures and evaluate them according to a set of axioms, some of them previously established by James and Taeuber (1985).
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