Spatial Variation in Foreclosures in Los Angeles
نویسندگان
چکیده
Research on the initial stage of the current mortgage foreclosure crisis focuses on its causes, scope and economic impact. This study contributes to the emerging literature by showing how the crisis plays out differently across urban neighborhoods. Clearly, the two most immediate causal factors are the relative size of the housing bubble and the number of risky loans. Yet, neighborhoods also are defined by demographic and socioeconomic characteristics, among other factors—conditions that may shape their experience of regional housing market dynamics. This study examines variation in first quarter 2008 foreclosure rates for 262 zip codes in Los Angeles County. Using a recursive model and weighted least squares regression, we find that the exurbs and communities with more subprime loans, bigger housing bubbles, lower current demand, and fewer college-educated residents have higher foreclosure rates. Race and poverty indirectly affect foreclosure rates through subprime lending and housing bubble size. Our findings illustrate the complex relationships between neighborhood economic, socioeconomic and demographic factors and foreclosure and suggest ways that policymakers in sprawling, high growth, multiracial regions can target remedial measures, as well as prevent future housing crises.
منابع مشابه
A Review of Surface-Enhanced Raman Spectroscopy on Potential Clinical Applications Towards Diagnosing Colorectal Cancer
Colorectal cancer (CRC) is one of the leading cancers in the world and early-screening is still the best method of cancer patient survival. However, colonoscopy as the current gold standard is not without flaws and an emerging technique called surface-enhanced Raman spectroscopy (SERS) coupled with machine learning is a possible candidate that could be applied in parallel with colonoscopy. This...
متن کاملA Review of Surface-Enhanced Raman Spectroscopy on Potential Clinical Applications Towards Diagnosing Colorectal Cancer
Colorectal cancer (CRC) is one of the leading cancers in the world and early-screening is still the best method of cancer patient survival. However, colonoscopy as the current gold standard is not without flaws and an emerging technique called surface-enhanced Raman spectroscopy (SERS) coupled with machine learning is a possible candidate that could be applied in parallel with colonoscopy. This...
متن کاملSpace geodetic determination of spatial variability in relative sea level change, Los Angeles basin
[1] We combine Synthetic Aperture Radar Interferometry (InSAR), tide gauge, and continuous GPS measurements to determine the spatial variation in vertical land motion (VLM) along the coast of the Los Angeles basin over the past decade, and to examine the impact of spatially variable VLM on relative sea level trends. By identifying radar scattering targets with long-term coherence we make height...
متن کاملNovel Non-local Total Variation Regularization for Constrained Mr Reconstruction
NOVEL NON-LOCAL TOTAL VARIATION REGULARIZATION FOR CONSTRAINED MR RECONSTRUCTION Andres Saucedo, Stamatios Lefkimmiatis, Stanley Osher, and Kyunghyun Sung Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States, Biomedical Physics Interdepartmental Graduate Program, University of California Los Angeles, L...
متن کاملSocial Determinants of Polypharmacy in First Generation Mexican Immigrants in the United States
Introduction: Socioeconomic status (SES) indicators are among the main social determinants of health and illness. Less, however, is known about the role of SES in the epidemiology of polypharmacy in immigrant Latino Americans living in the United States. This research studied the association between three SES indicators, education, income, and employment, and polypharmacy in ol...
متن کامل