1. PPA786: Urban Policy Class 11: Residential Segregation: Measurement, Causes, Consequences

2. PPA786, Class 12: Residential Segregation Class Outline ▫Measurement of Segregation ▫Causes of Segregation ▫Consequences of Segregation

3. PPA786, Class 12: Residential Segregation Definition of Segregation ▫Segregation is the physical separation of different groups = a synonym for sorting. ▫We focus on racial and ethnic residential segregation, but many other kinds of segregation exist (in schools, firms, occupations, etc.). ▫Segregation is a complex social phenomenon, with many different dimensions.

4. PPA786, Class 12: Residential Segregation Measures of Segregation ▫Dissimilarity Index: Evenness of segregation ▫Isolation Index: Potential contact between groups ▫Delta Index: Relative physical space occupied ▫Centralization Index: Degree to which a group lives near the CBD ▫Proximity Index: Degree to which a group lives in contiguous areas

5. PPA786, Class 12: Residential Segregation The Dissimilarity Index ▫The dissimilarity index, D, is the most common measure of discrimination. ▫It indicates the share of either group that would have to move to reach an even distribution. ▫Its formula is:

6. PPA786, Class 12: Residential Segregation Black-White Segregation ▫In the case of black-white segregation, over the last 40 years we have seen declines in segregation measured by  Dissimilarity Index  Isolation Index ▫And little change in segregation (up to 2000) using  Delta Index  Centralization Index  Proximity Index

7. PPA786, Class 12: Residential Segregation Segregation Indexes for Blacks Source: Glaeser/Vigdor

8. PPA786, Class 12: Residential Segregation Segregation Indexes for Blacks Source: Glaeser/Vigdor

9. PPA786, Class 12: Residential Segregation Glaeser/Vigdor based on census tracts; Frey based on census block-groups. Black-White Dissimilarity Indexes for Nation's Largest Metro Areas Glaeser/VigdorFrey 20002010 20002010 New York68.764.780.278.0 Los Angeles58.454.570.067.8 Chicago77.971.981.276.4 Dallas-Ft. Worth53.747.559.856.6 Philadelphia67.062.671.068.4 Houston56.047.865.761.4 Washington, D.C.59.756.163.862.3 Miami63.658.169.264.8 Atlanta61.054.164.359.0 Boston62.657.667.664.0 Average62.957.5 69.365.9

10. PPA786, Class 12: Residential Segregation Most Segregated Areas for Blacks Source: Frey, Population Studies Center, University of Michigan Rank (2010)Name199020002010 1Milwaukee-Waukesha-West Allis, WI82.883.381.5 2New York-Northern New Jersey-Long Island, NY-NJ-PA80.980.278.0 3Chicago-Naperville-Joliet, IL-IN-WI84.481.276.4 4Detroit-Warren-Livonia, MI87.685.775.3 5Cleveland-Elyria-Mentor, OH82.878.274.1 6Buffalo-Niagara Falls, NY80.178.073.2 7St. Louis, MO-IL77.274.172.3 8Cincinnati-Middletown, OH-KY-IN75.973.769.4 9Philadelphia-Camden-Wilmington, PA-NJ-DE-MD75.271.068.4 10Los Angeles-Long Beach-Santa Ana, CA72.770.067.8 11Syracuse, NY73.071.467.8 12Bridgeport-Stamford-Norwalk, CT69.269.667.5 13Youngstown-Warren-Boardman, OH-PA74.772.767.5 14Dayton, OH76.673.066.4 15Indianapolis-Carmel, IN74.472.166.4 16Birmingham-Hoover, AL70.369.165.8 17Pittsburgh, PA70.868.965.8 18Harrisburg-Carlisle, PA74.371.165.7 19Baltimore-Towson, MD71.468.265.4 20Toledo, OH74.471.265.3

11. PPA786, Class 12: Residential Segregation Perspective on Black-White Segregation ▫Comparisons with 1900 are misleading; social segregation did not require residential segregation back then.  As late as the 1960s, many southern cities had low segregation indexes because black workers in white homes lived close by. ▫Cities with large black populations have seen relatively little decline in segregation. ▫Black-white segregation is still much greater than Hispanic/non-Hispanic or Asian-white segregation.

12. PPA786, Class 12: Residential Segregation Hispanic/Non-Hispanic-White Segregation ▫In the case of Hispanic-white segregation, the decades preceding 2000 saw increases in segregation measured by  Dissimilarity Index  Isolation Index ▫And little change in segregation using  Delta Index  Centralization Index  Proximity Index

13. PPA786, Class 12: Residential Segregation Dissimilarity Index for Hispanics (Frey) Hispanic/non-Hispanic-white Dissimilarity Indexes, 10 Largest Metropolitan Areas, 1990-2010 199020002010 New York-Northern New Jersey-Long Island, NY-NJ-PA66.265.662.0 Los Angeles-Long Beach-Santa Ana, CA60.362.562.2 Chicago-Naperville-Joliet, IL-IN-WI61.460.756.3 Dallas-Fort Worth-Arlington, TX48.852.350.3 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD60.958.555.1 Houston-Sugar Land-Baytown, TX47.853.452.5 Washington-Arlington-Alexandria, DC-VA-MD-WV41.847.448.3 Miami-Fort Lauderdale-Pompano Beach, FL32.559.057.4 Atlanta-Sandy Springs-Marietta, GA35.351.649.5 Boston-Cambridge-Quincy, MA-NH59.362.559.6 Syracuse, NY39.644.442.2 Average (102 Areas with Population > 500,000)38.643.943.5

14. PPA786, Class 12: Residential Segregation Dissimilarity Index for Asians (Frey) Asian-White Dissimilarity Indexes for the 10 Largest Metropolitan Areas, 1990-2010 199020002010 New York-Northern New Jersey-Long Island, NY-NJ-PA47.450.851.9 Los Angeles-Long Beach-Santa Ana, CA43.547.948.4 Chicago-Naperville-Joliet, IL-IN-WI46.546.844.9 Dallas-Fort Worth-Arlington, TX41.845.646.6 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD42.444.142.3 Houston-Sugar Land-Baytown, TX48.051.450.4 Washington-Arlington-Alexandria, DC-VA-MD-WV34.538.738.9 Miami-Fort Lauderdale-Pompano Beach, FL26.833.334.2 Atlanta-Sandy Springs-Marietta, GA42.546.948.5 Boston-Cambridge-Quincy, MA-NH45.547.845.4 Syracuse, NY45.248.151.5 Average (102 Areas with Population > 500,000)38.439.839.7

15. PPA786, Class 12: Residential Segregation Hypersegregation in 2000 ▫Hypersegregation exists when an area ranks highly (e.g. above 60 for D) on four of the five dimensions of segregation (Massey and Denton). ▫A recent study (Wilkes and Iceland) finds that  Blacks were hypersegregated in 29 urban areas in 2000.  Hispanics were hypersegregated in two areas.  Asians were never hypersegregated.

16. PPA786, Class 12: Residential Segregation Hypersegregation, Continued Black hypersegregation (29 areas) ▫On 5 dimensions:  Chicago, Cleveland, Detroit, Milwaukee, Newark, and Philadelphia ▫On 4 dimensions:  Albany, Georgia; Atlanta; Baltimore; Baton Rouge; Beaumont–Port Arthur; Birmingham; Buffalo–Niagara Falls; Dayton–Springfield, Ohio; Flint; Gary; Houston; Jackson; Kankakee, Illinois; Los Angeles–Long Beach; Miami; Memphis; Mobile; Monroe, Louisiana; New Orleans; New York; Saginaw–Bay City, Michigan; St. Louis; and Washington, DC. Hispanic hypersegregation (4 dimensions): ▫Los Angeles, New York

17. PPA786, Class 12: Residential Segregation Causes of Segregation ▫Discrimination ▫Preferences (which are based on experiences) ▫Income differences (which reflect past and current discrimination)

18. PPA786, Class 12: Residential Segregation Causes of Segregation: Discrimination ▫Discrimination obviously can contribute to segregation. ▫Specifically, segregation is reinforced by  Denial of information about available housing,  Racial/ethnic steering,  Lack of cooperation in completing transactions.

19. PPA786, Class 12: Residential Segregation Causes of Segregation: Attitudes ▫An excellent article by Ihlanfeldt and Scafidi (using data from Atlanta, Boston, and LA) examines the simultaneity between racial attitudes and racial segregation.  Whites’ neighborhood racial preferences play an important role in explaining the racial composition of their neighborhoods.  Inter-racial contact in neighborhoods and workplaces leads to a greater willingness among whites to live with blacks.

20. PPA786, Class 12: Residential Segregation Causes of Segregation: Income ▫Income sorting and segregation  The basic logic of income-taste sorting suggests that socio-economic differences between groups will contribute to residential segregation. ▫A recent study of the San Francisco area (Bayer, MacMillan, Rueben) finds that education, income, language, and immigration status, explain  Almost 95% of segregation for Hispanic households  Over 50% of segregation Asian households, and  Only 30% of segregation for Black households.

21. PPA786, Class 12: Residential Segregation Consequences of Segregation: ▫Differences in opportunities. ▫Persistence of stereotypes and prejudice. ▫Segregation is an outcome that becomes a cause!

22. PPA786, Class 12: Residential Segregation Segregation and Opportunities ▫Spatial Mismatch Hypothesis  Kain: High unemployment among blacks is due to mismatch between their residences and location of jobs—and to factors maintaining segregation.  Some evidence to support this (more jobs nearby = lower unemployment for blacks).  But recent evidence indicates that having more jobs held by whites nearby does not lower black unemployment (Hellerstein, Neumark, and McInerney)—a sign of discrimination in labor markets.

23. PPA786, Class 12: Residential Segregation Segregation and Opportunities, Cont. ▫Another approach is to determine whether blacks have poorer socio-economic outcomes in urban areas with higher levels of segregation (Cutler and Glaeser). ▫Higher segregation leads to larger white- black gaps in employment, earnings, not being a single mother, and high-school graduation. ▫A one-standard deviation decrease in segregation would cut the black-white gap on most outcomes by one-third.

24. PPA786, Class 12: Residential Segregation Segregation and Prejudice ▫Remember the evidence from Ihlanfeldt and Scafidi:  Inter-racial contact in neighborhoods and workplaces leads to a greater willingness among whites to live with blacks.  It follows that a lack of contact undermines the willingness of whites to live with blacks.