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October 23, 2023

How do renters survive unaffordability? Household-level impacts of rent burden in Los Angeles

Authors

Soledad De Gregorio, Abt Global; Jovanna Rosen, Rutgers University – Camden; Sean Angst, University of Southern California; and Gary Painter, University of Cincinnati

What actions do individuals and families take when they are rent burdened? A collaborative research team from Rutgers University, University of Southern California, University of Cincinnati and Abt examined how housing affordability affects renters, and the tactics that people use to survive.

The team examined data from a door-to-door household survey in South and Central Los Angeles and found that for rent-burdened households—or those paying more than 30 percent of their income on rent—were more likely to reduce consumption of food, utilities, healthcare, education, and other spending for years. These households often took further actions by making functional changes, meaning working more hours at their jobs and/or changing their homes to take on additional residents to help with household costs, including rent.

This article adds to the literature by examining the specific consumption cutbacks cited by respondents, and their duration.


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Shelter from the Storm: Addressing the Dual Crisis of Extreme Weather and Homelessness

Homeless response systems need support to strengthen their resilience to extreme weather shocks and the disproportionate harm that extreme weather has on people experiencing homelessness.

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Publication

Association for Public Policy Analysis & Management (APPAM) 2024 Fall Research Conference

Experts from Abt Global will be presenting at the Association for Public Policy Analysis & Management (APPAM) 2024 Fall Research Conference.

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Event

Understanding Homeless Encampments in Long Beach, L.A. River Basin, and San Fernando Valley

A Conrad N. Hilton Foundation-funded, Abt-led evaluation studied three encampments in Los Angeles.

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Publication

Rental Housing Results from Low-Income Housing Tax Credits

Abt is merging databases with information on rental housing results from low-income housing tax credits to inform decision-making. 

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Project