Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Financial Stress In Mountain West Cities And Townships, 2020, Saha Salahi, Kristian Thymianos, Eshaan Vakil, Caitlin J. Saladino, William E. Brown Jr.
Financial Stress In Mountain West Cities And Townships, 2020, Saha Salahi, Kristian Thymianos, Eshaan Vakil, Caitlin J. Saladino, William E. Brown Jr.
Economic Development & Workforce
This factsheet highlights financial stressors facing 16 cities in four Mountain West states: Arizona, Colorado Nevada, and New Mexico. The data included are reported in the 2020 “SmartAsset Study” by Ben Geier.
How Did Homelessness Change During The Great Recession And Recovery?, Jenny Schuetz, Matthew Ring
How Did Homelessness Change During The Great Recession And Recovery?, Jenny Schuetz, Matthew Ring
Policy Briefs and Reports
Job losses from the COVID-19 pandemic have exacerbated housing insecurity among low-income renters over the past year. Federal, state, and local policymakers have created temporary measures to help reduce displacement among people who have lost their jobs, but there is considerable uncertainty about what will happen when these temporary measures end. To gain insight into how homelessness changes over macroeconomic cycles, we examine changes in homelessness rates from 2007 to 2020. Our analysis focuses on four metro areas that were particularly hard-hit by the foreclosure crisis: Las Vegas, Los Angeles, Phoenix, and Riverside. Overall homelessness rates declined in all metros …
The Eviction Landscape In South Carolina, Ethan Magnuson
The Eviction Landscape In South Carolina, Ethan Magnuson
Senior Theses
The purpose of this thesis is to describe and analyze the South Carolinian eviction crisis from the perspective of radical geography. South Carolina was chosen for the severity of its crisis and the lack of research at a sub-state level. Court records of eviction filings from 2019 were geocoded and tested for spatial clustering, which was clearly visible. Plaintiff names were used to identify the most frequent filers and distinguish landlords by type. At the census tract level, eviction filing counts were compared with neighborhood characteristics using negative binomial regression, and most were found to be significant in South Carolina. …