Identifying Robust, Parsimonious Neighborhood Indicators
نویسندگان
چکیده
Identifying Robust, Parsimonious Neighborhood Indicators Identifying a few indicators that summarily tracked key dimensions of neighborhoods would be invaluable for neighborhood monitoring and measuring impacts of interventions. Our goal is to search empirically for such robust, parsimonious indicators. In five cities we analyze the interrelationships among a broad set of census tract indicators related to: mortgage market activity; home prices; jobs and firms; demographic, socio-economic, and housing stock characteristics; crime; and public assistance and health. Through factor analysis we identify four to six neighborhood dimensions among these indicators that are common across cities. Using regression we identify a parsimonious number of indicators that are inexpensive, annually updated, and available for all U.S. communities, yet robustly capture significant variation in these neighborhood dimensions. Home Mortgage Disclosure Act (HMDA) data on mortgage approval rates, loan amounts, and loan applications, and Dunn and Bradstreet data on businesses comprise such a set for four of the dimensions.
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تاریخ انتشار 2004