Abstract
Identifying a few indicators that summarily tracked key dimensions of neighborhoods would be invaluable for neighborhood monitoring and measuring impacts of interventions. The goal of this article is to search empirically for such robust, parsimonious indicators. In five cities, the authors analyze the interrelationships among a broad set of census tract indicators related to mortgage market activity; home prices; jobs and firms; demographic, socioeconomic, and housing stock characteristics; crime; and public assistance and health. Through factor analysis, they identify four to six neighborhood dimensions among these indicators that are common across cities. Using regression, the authors 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.