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

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Presentation transcript:

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

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

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.

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

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:

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

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

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

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 New York Los Angeles Chicago Dallas-Ft. Worth Philadelphia Houston Washington, D.C Miami Atlanta Boston Average

PPA786, Class 12: Residential Segregation Most Segregated Areas for Blacks Source: Frey, Population Studies Center, University of Michigan Rank (2010)Name Milwaukee-Waukesha-West Allis, WI New York-Northern New Jersey-Long Island, NY-NJ-PA Chicago-Naperville-Joliet, IL-IN-WI Detroit-Warren-Livonia, MI Cleveland-Elyria-Mentor, OH Buffalo-Niagara Falls, NY St. Louis, MO-IL Cincinnati-Middletown, OH-KY-IN Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Los Angeles-Long Beach-Santa Ana, CA Syracuse, NY Bridgeport-Stamford-Norwalk, CT Youngstown-Warren-Boardman, OH-PA Dayton, OH Indianapolis-Carmel, IN Birmingham-Hoover, AL Pittsburgh, PA Harrisburg-Carlisle, PA Baltimore-Towson, MD Toledo, OH

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.

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

PPA786, Class 12: Residential Segregation Dissimilarity Index for Hispanics (Frey) Hispanic/non-Hispanic-white Dissimilarity Indexes, 10 Largest Metropolitan Areas, New York-Northern New Jersey-Long Island, NY-NJ-PA Los Angeles-Long Beach-Santa Ana, CA Chicago-Naperville-Joliet, IL-IN-WI Dallas-Fort Worth-Arlington, TX Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Houston-Sugar Land-Baytown, TX Washington-Arlington-Alexandria, DC-VA-MD-WV Miami-Fort Lauderdale-Pompano Beach, FL Atlanta-Sandy Springs-Marietta, GA Boston-Cambridge-Quincy, MA-NH Syracuse, NY Average (102 Areas with Population > 500,000)

PPA786, Class 12: Residential Segregation Dissimilarity Index for Asians (Frey) Asian-White Dissimilarity Indexes for the 10 Largest Metropolitan Areas, New York-Northern New Jersey-Long Island, NY-NJ-PA Los Angeles-Long Beach-Santa Ana, CA Chicago-Naperville-Joliet, IL-IN-WI Dallas-Fort Worth-Arlington, TX Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Houston-Sugar Land-Baytown, TX Washington-Arlington-Alexandria, DC-VA-MD-WV Miami-Fort Lauderdale-Pompano Beach, FL Atlanta-Sandy Springs-Marietta, GA Boston-Cambridge-Quincy, MA-NH Syracuse, NY Average (102 Areas with Population > 500,000)

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  Hispanics were hypersegregated in two areas.  Asians were never hypersegregated.

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

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

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.

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.

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.

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

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.

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.

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.