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Multi-City Study of Urban Inequality MCSUI

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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Multi-City Study of Urban Inequality MCSUI

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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. Detroit’s economy: Post WWII Prosperity for Detroit’s blue-collar workers Domination of auto industry, strong unions, post-War economic boom Benefits to Detroit’s Black workers Black-White male earnings gap lowest in country after WWII (85% in Detroit vs. 56% in U.S.)

    26. Detroit’s 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. Atlanta’s 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 Atlanta’s 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. Boston’s 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:

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