Unifying Micro-level and Macro-level Analyses of Segregation

Mark Fossett
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Mark Fossett: Texas A&M University, Department of Sociology

Chapter Chapter 9 in New Methods for Measuring and Analyzing Segregation, 2017, pp 139-179 from Springer

Abstract: Abstract Casting segregation indices in the difference of means framework provides a valuable option previously not available to researchers. It enables them to seamlessly connect macro-level segregation – as measured by the index score for a city – to micro-level processes of residential attainment. At the simplest level the value of any index placed in the difference of means framework can be obtained by performing an individual-level attainment analysis that predicts index-relevant residential outcomes (y, scored from area group proportion p) for individuals with a dummy variable (0,1) for racial group membership. The regression coefficient for race will exactly equal the index score obtained by standard computing formulas. This introduces a new interpretation of segregation index scores; their values reflect the effect of race on the attainment of residential outcomes that determine the segregation index score for the city.

Date: 2017
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DOI: 10.1007/978-3-319-41304-4_9

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