This article argues that central cities and their surrounding regions are highly interdependent, and that neither suburbs nor central cities are self-sufficient. For example, suburban per capita income is linked to central city per capital income, and the price of peripheral "edge city" office space is linked to the price of office space in the central business district. Not only do many suburbanites earn their incomes in central cities, but the authors also find that the amounts of income generated in core cities continue to grow. Overall, strong statistical evidence shows that suburbs benefit when their core cities are viable (densely populated and prosperous) and that when cities include a greater proportion of their metropolitan populations, they tend to be more prosperous.

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Little research has been conducted on housing quality among the elderly. The fault lies partly with the lack of reliable data. Studies on elderly housing quality are spotty, anecdotal, and unsystematic. Many rely on decennial census data which provide a limited and unsatisfactory portrait of special housing needs of elders in general. This article seeks to fill this void by reporting a comprehensive study of elderly housing quality. For all units, logistic regression revealed that region and race are the most important predictors of housing inadequacy; tenure and the gender of the person living alone are moderately powerful influences upon inadequacy. Housing inadequacy is greater among blacks, in the South, for males living alone, and for renters.

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Studies of rent control have utilized limited samples of cities over short timespans. Many are limited in value because of crude or poorly specified statistical analyses and a majority tend to focus on the most extreme form of rent control, that of New York City, and ignore more typical kinds. This study addresses these shortcomings by analyzing them over a 20-year timespan and using regression analysis which specifies the independent variable rent control as both a nominal and an ordinal variable. This is the largest sample using regression analysis over so long a period. The authors give an overview of the impacts of moderate rent control in 60 New Jersey cities. Their regression analysis reveals that moderate rent control laws in New Jersey have had only a small impact.