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Community Psychology Commons

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Medicine and Health Sciences

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Dennis P. Culhane

Structural Determinants of Homelessness

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Full-Text Articles in Community Psychology

The Relationship Between Community Investment In Permanent Supportive Housing And Chronic Homelessness, Thomas Byrne, Jamison Fargo, Ann Elizabeth Montgomery, Ellen Munley, Dennis P. Culhane May 2014

The Relationship Between Community Investment In Permanent Supportive Housing And Chronic Homelessness, Thomas Byrne, Jamison Fargo, Ann Elizabeth Montgomery, Ellen Munley, Dennis P. Culhane

Dennis P. Culhane

In recent years, permanent supportive housing PSH has emerged as the preferred intervention for addressing chronic homelessness in the United States. However, almost all prior studies examining the effectiveness of PSH have been conducted at the individual level, with only minimal attempts to empirically test the relationship between PSH and chronic homelessness at the community level. This study uses longitudinal data collected by the US Department of Housing and Urban Development HUD and several other sources to model the relationship between measures of community investment in PSH and rates of chronic homelessness. The results show modest negative associations between increased …


Community-Level Characteristics Associated With Variations In Rates Of Homelessness Among Families And Single Adults, Jamison D. Fargo, Ellen A. Munley, Thomas H. Byrne, Ann Elizabeth Montgomery, Dennis P. Culhane Nov 2013

Community-Level Characteristics Associated With Variations In Rates Of Homelessness Among Families And Single Adults, Jamison D. Fargo, Ellen A. Munley, Thomas H. Byrne, Ann Elizabeth Montgomery, Dennis P. Culhane

Dennis P. Culhane

Objectives. We modeled rates of family and single-adult homelessness in the United States in metropolitan and nonmetropolitan regions and as a function of community-level demographic, behavioral, health, economic, and safety net characteristics.
Methods. We entered community-level characteristics and US Department of Housing and Urban Development point-in-time counts for a single night in January 2009 into separate mixed-effects statistical analyses that modeled homelessness rates for 4 subpopulations: families and single adults inmetropolitan and nonmetropolitan regions.
Results. Community-level factors accounted for 25% to 50% of the variance in homelessness rates across models. In metropolitan regions, alcohol consumption, social support, and several economic …