000827478 000__ 05047cam\a2200505Ii\4500
000827478 001__ 827478
000827478 005__ 20230306144517.0
000827478 006__ m\\\\\o\\d\\\\\\\\
000827478 007__ cr\nn\nnnunnun
000827478 008__ 170914s2017\\\\sz\a\\\\o\\\\\000\0\eng\d
000827478 010__ $$a  2017930612
000827478 019__ $$a1005454644$$a1012446592$$a1019919318
000827478 020__ $$a9783319413044
000827478 020__ $$a331941304X
000827478 020__ $$z9783319413020
000827478 020__ $$z3319413023
000827478 0247_ $$a10.1007/978-3-319-41304-4$$2doi
000827478 035__ $$aSP(OCoLC)on1008876326
000827478 035__ $$aSP(OCoLC)1008876326$$z(OCoLC)1005454644$$z(OCoLC)1012446592$$z(OCoLC)1019919318
000827478 040__ $$aAZU$$beng$$erda$$epn$$cAZU$$dYDX$$dINA$$dOCLCO$$dOCLCF$$dCOO$$dOCL$$dOCLCQ$$dOCLCO$$dLND$$dDKU$$dOH1
000827478 049__ $$aISEA
000827478 050_4 $$aHD7288.75$$b.F67 2017
000827478 08204 $$a363.5/1$$223
000827478 1001_ $$aFossett, Mark Alan,$$eauthor.
000827478 24510 $$aNew methods for measuring and analyzing segregation /$$cMark Fossett.
000827478 264_1 $$a[Cham, Switzerland] :$$bSpringer Open,$$c[2017]
000827478 300__ $$a1 online resource (xxv, 334 pages).
000827478 336__ $$atext$$btxt$$2rdacontent
000827478 337__ $$acomputer$$bc$$2rdamedia
000827478 338__ $$aonline resource$$bcr$$2rdacarrier
000827478 347__ $$atext file$$bPDF$$2rda
000827478 4901_ $$aThe Springer Series on Demographic Methods and Population Analysis,$$x1389-6784 ;$$v42
000827478 5050_ $$aPreface -- 1. Introduction and Goals -- 2. Alternative Formulas for Selected Indices -- 3. Overview of the "Difference of Means" Framework -- 4. Index-Specific Implementations of Difference of Means Formulations -- 5. Index Differences in Registering Area Group Proportions -- 6. Empirical Relationships among Indices -- 7. Distinctions between Displacement and Separation -- 8. Further Comments on Differences between Displacement and Separation -- 9. Unifying Micro-Level and Macro-Level Analysis of Segregation -- 10. New Options for Investigating Macro-Level Variation in Segregation -- 11. Aspatial and Spatial Applications of Indices of Uneven Distribution -- 12. Relevance of Individual-Level Residential Outcomes for Describing Segregation -- 13. Relevance of Individual-Level Residential Outcomes for Segregation Theory -- 14. The Problem of Index Bias and Prevailing Practices for Dealing with It -- 15. New Options for Understanding and Dealing with Index Bias -- 16. Comparing Behavior of Unbiased and Standard Versions of Popular Indices -- 17. Final Comments -- Appendix Chapters (A-F).
000827478 506__ $$aAccess limited to authorized users.
000827478 520__ $$aThis book is open access under a CC BY-NC 2.5 license. This book introduces new methods for measuring and analyzing residential segregation. It begins by placing all popular segregation indices in the "difference of group means" framework wherein index scores can be obtained as simple differences of group means on individual-level residential attainments scored from area racial composition. Drawing on the insight that in this framework index scores are additively determined by individual residential attainments, the book shows that the level of segregation in a given city can be equated to the effect of group membership (e.g., race) on individual residential attainments. This unifies separate research traditions in the field by joining the analysis of segregation at the aggregate level with the analysis of residential attainments for individuals. Next it shows how segregation analysis can be extended by using multivariate attainment models to assess the impact of group membership (i.e., the level of segregation for a city) while including controls for other relevant individual characteristics (e.g., income, education, language, nativity, etc.). It then illustrates how one can use these models to quantitatively assess the extent to which segregation traces to impacts of group membership on residential attainments versus other factors such as group differences in income. The book then shows how micro-level attainment models can be used to study macro-level variation in segregation; specifically, by estimating multi-level models of individual residential attainments to assess how the effect of group membership (i.e., segregation index scores) vary with city characteristics. Finally, the book introduces refined versions of popular indices that are free of the vexing problem of upward bias. This improves the quality of segregation measurement directly at the level of individual cases and expanding the number of cases that can be safely included in empirical studies.
000827478 542__ $$fLicensed under the terms of the Creative Commons AttributionNonCommercial 2.5 International License, except where otherwise noted
000827478 650_0 $$aDiscrimination in housing$$xMeasurement.
000827478 650_0 $$aRace discrimination$$xMeasurement.
000827478 650_0 $$aDemography.
000827478 77608 $$iPrint version: $$z9783319413020
000827478 830_0 $$aSpringer series on demographic methods and population analysis ;$$v42.
000827478 852__ $$bebk
000827478 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-41304-4$$zOnline Access$$91397441.1
000827478 909CO $$ooai:library.usi.edu:827478$$pGLOBAL_SET
000827478 980__ $$aEBOOK
000827478 980__ $$aBIB
000827478 982__ $$aEbook
000827478 983__ $$aOnline
000827478 994__ $$a92$$bISE