An Econometric Model of the Urban Opportunity Structure: Cumulative Causation Among City Markets, Social Problems, and Underserved Areas

Front Cover
DIANE Publishing, 1998 - Cities and towns - 94 pages
Using an extensive database for the nation's 100 largest cities, this report examines the relationships among the housing, mortgage, and labor markets; the local public sector; household location patterns; and crime, dropping out of school, and out-of-wedlock childbearing. In addition to its comprehensiveness, this is also the first work to examine how underserved areas, as defined by HUD, interact with the various components of the opportunity structure. Includes 3 appendices: a glossary of variables; estimation of housing price indexes; and reduced form estimates (standardized coefficients).

What people are saying - Write a review

User Review - Flag as inappropriate

good book

Selected pages


Common terms and phrases

Popular passages

Page 82 - CA Sacramento, CA San Diego, CA San Francisco, CA San Jose, CA Santa Ana, CA Stockton, CA Colorado Springs, CO Denver, CO Washington, DC Fort Lauderdale, FL Jacksonville, FL Miami, FL St.
Page 80 - ... Francisco, CA San Jose, CA Denver, CO Jacksonville, FL Miami, FL Atlanta, GA Honolulu, HI Chicago, IL Indianapolis, IN New Orleans, LA Baltimore, MD Boston, MA Detroit, MI Minneapolis, MN Kansas City, MO St. Louis, MO Omaha, NB Newark, NJ Buffalo, NY New York, NY Cincinnati, OH Cleveland, OH Columbus, OH Toledo, OH Oklahoma City, OK Tulsa, OK Portland, OR Philadelphia, PA Pittsburgh, PA Memphis, TN Nashville-Davidson, TN Dallas, TX El Paso, TX Fort Worth, TX Houston, TX San Antonio, TX Norfolk,...
Page ix - English well find housing demands skewed from owner to rental occupancy, greater demands for mortgage finance by those who do own, and a greater chance that their mortgage applications will be denied.
Page 40 - Variable — 3-item scale of pessimism regarding neighborhood changes.). ••bc - coefficient statistically significant at 1%, 5%, 10% levels, respectively (one-tailed test). * = two-tailed test if no predicted sign or opposite predicted sign.
Page vii - ... residents and incomes not above 120 percent of the MSA median and/or (2) median incomes of less than 90 percent of the MSA median.
Page 1 - What is the nature of the relationship between the aggregate supply of mortgage loans in the central city and the percentage of the population in underserved areas in that city?
Page vi - The United States is in the midst of the largest wave of immigration in its history.
Page vi - Patrick A. Simmons is Director of Housing Demography at the Fannie Mae Foundation.

Bibliographic information