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Andrew Cuomo, the U.S. secretary of housing and urban development, has been trying to spread the word that even with the economy booming, and the Dow hurdling the10,000 barrier, and millionaires being created at an astonishing rate, there are still many Americans struggling with the equivalen
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1. Multi-City Study of Urban Inequality (MCSUI) 1999 Summer Workshop
2. URBAN INEQUALITY IN 1999
4. Urban Inequality and the MCSUI Race and ethnicity
Economic conditions
Policy
Housing
5. The Multi-city Study of Urban Inequality 4 CITIES:
Detroit
Atlanta
Boston
L.A.
6. 3 Dimensions of Inequality
Intergroup attitudes
Residential segregation
Labor Markets
7. 3 Surveys
Household survey
Telephone employer survey
Face-to-face employer survey
10. What will we learn this week? Goals
using the data
developing ideas/networking
Overall structure
Topics each day
11. Materials
Workbook
Syllabus, handouts
Readings
Codebook
12. TODAY: Introductions The cast of characters
The project
The MCSUI cities
The codebook
13. How did the MCSUI project originate? Why these dimensions?
Why these cities?
Why these questions?
Why this design?
22. The Four MCSUI Metropolitan Areas: A Brief Introduction
25. Detroits economy: Post WWII Prosperity for Detroits blue-collar workers
Domination of auto industry, strong unions, post-War economic boom
Benefits to Detroits Black workers
Black-White male earnings gap lowest in country after WWII (85% in Detroit vs. 56% in U.S.)
26. Detroits economy: 1970-1990 Hit hard by the industrial restructuring of the 1970s and 1980s:
Fewer jobs for low skill workers
Movement of employment to the suburbs
Increase in Black-White income gap
28. Racial conflict
29. Chocolate City, Vanilla Suburbs Residential segregation higher in Detroit than any other metropolitan area in the U.S., 1990 (Farley and Frey)
The majority of Blacks live in the city of Detroit. The majority of Whites live in the suburbs.
35. Atlantas economy Grew tremendously in the 1980s
Mean family income grew 21% between 1969-1989, compared to a growth of 11% in the U.S.
Black mecca:
Employment opportunities for Blacks as well as Whites
37. Residential Patterns Majority of Blacks live outside the central city
Residential segregation still high
40. Spatial mismatch 65% of the jobs are located in Atlantas northern suburbs
71% of Blacks live in the central city and the southern suburbs
41. The Atlanta Paradox Growing economy and high poverty
City of Atlanta has the 5th highest poverty rate in the country
46. Bostons economy The Massachusetts miracle
49. Massachusetts Miracle: New industrial base Services (professional) and FIRE industries replaced manufacturing
Concerted effort to educate and train the population
50. Economic status of population Boston was #1 in the country in fastest growing incomes
Black family income rose by 40% in the 1980s (leading the country)
51. Poverty in the city of Boston Black poverty lower in Boston than average for U.S. cities
Blacks: 24%
Whites: 14%
Latino and Asian poverty higher in Boston than average for U.S. cities
Latinos: 33%
Asians: 19%
52. Residential segregation
63. L.A.: Characteristics Rapid economic growth since 1960
Increasing inequality
Rapid demographic growth since 1960
Prismatic metropolis
65. L.A.: Economic Profile Manufacturing robust
20% of employment in 1990
# of foreign-born workers in manuf. grew by 280% between 1970-1990
Growth of services
Immigrants in low wage sectors
66. Result: proliferation of low-wage and high-wage jobs, with fewer jobs in the middle range
Access to employment varies dramatically by race/ethnicity (Bobo et al forthcoming).
67. Mean Earnings for Men 25-64, by Ethnicity
69. L.A.: Residential Segregation Index
79. Race/ethnic Composition of the 4 MCSUI Metro Areas
80. SUMMARY Economic differences
Population differences
Differences in political histories
81. The Codebook: An Introduction
84. Tips and Hints about the MCSUI Codebook Logical skips
Forms (split ballots)
Question wording
85. Missing data Missing data are usually 9, 99, or 999
They are not identified as missing by your statistical program (STATA, SPSS)
You must code relevant variables as missing before performing exercises
86. Assorted Exercises Using the Codebook and Selecting Variables: