Ethnic Residential Segregation: A Multilevel, Multigroup, Multiscale Approach Exemplified by London in 2011.

We develop and apply a multilevel modeling approach that is simultaneously capable of assessing multigroup and multiscale segregation in the presence of substantial stochastic variation that accompanies ethnicity rates based on small absolute counts. Bayesian MCMC estimation of a log-normal Poisson...

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Publicado en:Demography (Springer Nature) Vol. 52; no. 6; pp. 1995 - 2020
Autores principales: Jones, Kelvyn, Johnston, Ron, Manley, David, Owen, Dewi, Charlton, Chris
Formato: journal article
Publicado: Springer Nature Dec2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2015
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      pub: Springer Nature
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        110932624
        10.1007/s13524-015-0430-1
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        atl: Ethnic Residential Segregation: A Multilevel, Multigroup, Multiscale Approach Exemplified by London in 2011.
      aug:
        au:
          Jones, Kelvyn
          Johnston, Ron
          Manley, David
          Owen, Dewi
          Charlton, Chris
        affil:
          School of Geographical Sciences and Centre for Multilevel Modelling, University of Bristol, Bristol BS8 1SS UK
          Centre for Multilevel Modelling, University of Bristol, Bristol BS8 1SS UK
      su:
        London (England)
        Housing discrimination
        Ethnicity
        Multilevel models
        Multiscale modeling
        Multiple scale method
        Poisson processes
        Lognormal distribution
      sug:
        subj:
          Housing discrimination
          Ethnicity
          London (England)
          Multilevel models
          Multiscale modeling
          Multiple scale method
          Poisson processes
          Lognormal distribution
      keyword:
        London
        Multilevel modeling
        Multiple scales
        Segregation
        London
        Multilevel modeling
        Multiple scales
        Segregation
      ab: We develop and apply a multilevel modeling approach that is simultaneously capable of assessing multigroup and multiscale segregation in the presence of substantial stochastic variation that accompanies ethnicity rates based on small absolute counts. Bayesian MCMC estimation of a log-normal Poisson model allows the calculation of the variance estimates of the degree of segregation in a single overall model, and credible intervals are obtained to provide a measure of uncertainty around those estimates. The procedure partitions the variance at different levels and implicitly models the dependency (or autocorrelation) at each spatial scale below the topmost one. Substantively, we apply the model to 2011 census data for London, one of the world's most ethnically diverse cities. We find that the degree of segregation depends both on scale and group.
      pubtype: Academic Journal
      doctype: journal article
      src: R
    language: English
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