LEADER 00000cam  22007217u 4500 
001    on1021280094 
003    OCoLC 
005    20200419060603.8 
006    m     o  d         
007    cr |n||||||||| 
008    171114s2017    xx      o     000 0 eng d 
019    1043370500|a1044872991|a1048169112|a1048389930|a1058925165
       |a1066621308 
020    9783319413020 
020    3319413023 
020    9783319413044 
020    331941304X 
024 7  10.1007/978-3-319-41304-4|2doi 
024 3  9783319413020 
035    (OCoLC)1021280094|z(OCoLC)1043370500|z(OCoLC)1044872991
       |z(OCoLC)1048169112|z(OCoLC)1048389930|z(OCoLC)1058925165
       |z(OCoLC)1066621308 
037    9783319413020|b00024965 
040    VT2|beng|epn|cVT2|dFIE|dOCLCO|dOCLCF|dAUD|dUAB|dOCLCO
       |dOCLCQ|dAU@|dOCLCO|dWYU|dOCLCQ|dOCLCO 
049    STJJ 
050  4 HB848-3697 
072  7 JHBD|2bicssc 
072  7 SOC006000|2bisacsh 
082 14 304.6 
100 1  Fossett. 
245 10 New Methods for Measuring and Analyzing Segregation /
       |cFossett. 
250    1st ed. 
264  1 [Place of publication not identified] :|bSpringer 
       International Publishing,|c2017. 
300    1 online resource. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
490 1  The Springer Series on Demographic Methods and Population 
       Analysis,|x1389-6784 ;|v42 
500    Title from content provider. 
505 0  Preface -- 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). 
520    This 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. .--|cProvided by publisher. 
542    |fLicensed under the terms of the Creative Commons 
       AttributionNonCommercial 2.5 International License, except
       where otherwise noted 
590    SpringerLink|bSpringer Nature Open Access eBooks 
650  0 Social sciences. 
650  0 Regional planning. 
650  0 City planning. 
650  0 Statistics. 
650  0 Regional economics. 
650  0 Space in economics. 
650  0 Demography. 
650  7 City planning.|2fast|0(OCoLC)fst00862177 
650  7 Demography.|2fast|0(OCoLC)fst00890158 
650  7 Regional economics.|2fast|0(OCoLC)fst01093090 
650  7 Regional planning.|2fast|0(OCoLC)fst01093120 
650  7 Social sciences.|2fast|0(OCoLC)fst01122877 
650  7 Space in economics.|2fast|0(OCoLC)fst01127736 
650  7 Statistics.|2fast|0(OCoLC)fst01132103 
700 1  Fossett, Mark. 
700 1  Bakker. 
776 08 |iPrinted edition:|z9783319413020 
830  0 Springer series on demographic methods and population 
       analysis ;|v42.|x1389-6784 
914    on1021280094 
994    92|bSTJ