Résumés
Abstract
Las Vegas presents a unique case in urban America for examining homelessness. Like other metros, the struggle for this city’s working class is shaped by high rents and deep poverty. Yet, two local factors create distinct risks to homelessness. First, the city’s unaffordable housing market is partly the outcome of the “financialization” of the large, foreclosed property supply by private investors that began during and continued after the Great Recession. Second, the economic precarity of workers is partly driven by their often highly mobile (out-of-state and immigrant) status in an expanding high-end service industry that offers little job security and low wages. This study investigates the major causes of and pathways into homelessness among unsheltered people in Las Vegas by integrating structural and individual risk factors within a Latent Class Analysis (LCA) framework. Using a survey of 360 respondents, this study identifies distinct subgroups by applying LCA to data on housing and employment insecurity, health and substance use challenges, adverse childhood experiences (ACEs), such as loss and abuse, and histories of institutionalization (including foster care, carceral, and mental health systems). Grounded in social ecological and structural theories of homelessness, the analysis evaluates the extent to which homelessness in Las Vegas is driven by structural risk factors, individual risk factors, and/or their interactions. Three classes emerged. Class 1 (66%) became homeless due to unemployment and exhibited fewer additional vulnerabilities, indicating that structural factors contributed to homelessness for most of the surveyed population. Homelessness among other respondents, represented by class 2 (11%) and class 3 (23%), arose from a synthesis of particular individual and structural risk factors, revealing discrete pathways that nuance the social ecological perspective. Women and people with physical disabilities who experienced cumulative childhood traumas marked, for example, by loss, foster care involvement, and poverty were driven into homelessness upon eventual experiences of violence, conflict or loss (class 2). People with potentially high degrees of clinical severity marked by serious mental health burdens and substance use problems with histories of institutionalization and who experienced childhood traumas of loss were driven into homelessness by these health problems and the loss of housing such as an eviction (class 3). Policy recommendations include employment programs, expanded transitional and permanent supportive housing with social services for those with complex needs, and tenant protections to reduce rent burdens.
Keywords:
- Las Vegas,
- unsheltered homelessness,
- Latent Class Analysis,
- Causes of homelessness
Parties annexes
Bibliography
- Akaike. H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723. https://doi.org/10.1109/TAC.1974.1100705
- Aldridge, R., Story, A., Hwang, S., Nordentoft, M., Luchenski, S., Hartwell, G., Tweed, E., Lewer, D., Katikireddi, S., & Hayward, A. (2017). Morbidity and mortality in homeless individuals, prisoners, sex workers, and individuals with substance use disorders in high-income countries: A systematic review and meta-analysis. The Lancet. 391(10117), 241–250. https://doi.org/10.1016/S0140-6736(17)31869-X
- Andrews, J. & Sisson, P. (2018). Wall Street’s new housing frontier: Single-family homes. Curbed, 18 May. https://archive.curbed.com/2018/5/18/17319570/wall-street-home-rentals-single-family-homes-invitation
- Barile, J.P., Smith Pruitt, A., & Parker, J. (2018). A latent class analysis of self-identified reasons for experiencing homelessness: Opportunities for prevention. Journal of Community and Applied Social Psychology, 28(2), 94-107. https://doi.org/10.1002/casp.2343
- Batko, S., Oneto, A.D., & Shroyer, A. (2020). Unsheltered homelessness: Trends, characteristics, and homeless histories. Urban Institute. https://www.urban.org/research/publication/unsheltered-homelessness-trends-characteristics-and-homeless-histories
- Bocian, D.G., Wei Li, & Ernst, K. (2010). Foreclosures by race and ethnicity: The demographics of a crisis. Center for Responsible Lending report. http://www.mvfairhousing.com/ai2015/2010-06-18_Foreclosures_by_Race_and_Ethnicity.PDF
- Borchard, K. B. (1997). An ethnography of homeless men in Las Vegas". [Doctoral Dissertation, University of Nevada Las Vegas]. Retrospective Theses and Dissertations. http://dx.doi.org/10.25669/7b4w-7ccn
- Borchard, K. (2005). The word on the street: Homeless men in Las Vegas. University of Nevada Press.
- Bronson, J. & Berzofsky, M. (2017). Indicators of mental problems reported by prisoners and jail inmates, 2011-2012 (NCJ250612). U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics. https://bjs.ojp.gov/content/pub/pdf/imhprpji1112.pdf
- Calgary Homeless Foundation. (2009). Rehousing triage and assessment survey toolkit. Calgary Homeless Foundation. https://homelesshub.ca/resource/re-housing-triage-and-assessment-survey-toolkit/
- Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13(2), 195–212. https://doi.org/10.1007/BF01246098
- Centers for Disease Control and Prevention (CDC). (n.d.). Adverse childhood experiences (ACEs). https://www.cdc.gov/aces/about/index.html.
- City of Las Vegas, Nevada. (2023a). Courtyard Homeless Resource Center: January – December 2022. https://files.lasvegasnevada.gov/homeless-services/Courtyard_Homeless_Resource_Center_Statistics_Jan-Dec_2022.pdfCity of Las Vegas, Nevada. (2023b). HOME-ARP Allocation Plan. https://files.lasvegasnevada.gov/neighborhood-services/Reports/HOME-ARP_Allocation_Plan.pdf?sv=2017-04-17&sr=b&si=DNNFileManagerPolicy&sig=CWAMgg9U6DiwqtFdhh%2FEBrR3hYEUbHRPYmnYKYMq5rI%3D
- Cohen, R., Yetvin, W., & Khadduri, J. (2019). Understanding encampments of people experiencing homelessness and community responses: Emerging evidence as of late 2018. SSRN Electronic Journal. https://dx.doi.org/10.2139/ssrn.3615828.
- Colburn, G., & Aldern, C.P. (2022). Homelessness is a Housing Problem: How Structural Factors Explain U.S. Housing Patterns. University of California Press
- Danese A. & McEwen B.S. (2012). Adverse childhood experiences, allostasis, allostatic load, and age-related disease. Physiology Behavior; 106(1),29–39. https://doi.org/10.1016/j.physbeh.2011.08.019
- Doran, K. M., Elswick Fockele, C., & Maguire, M. (2022). Overdose and homelessness – Why we need to talk about housing. JAMA Network Open, 5(1), e2142685. https://doi.org/10.1001/jamanetworkopen.2021.42685
- Esteves KC, Jones CW, Wade M., Callerame, K., Smith, A. K., Theall, K. P., & Drury, S. S.(2020). Adverse childhood experiences: Implications for offspring telomere length and psychopathology. American Journal of Psychiatry, 177(1), 47–57. https://doi.org/10.1176/appi.ajp.2019.18030335
- Fargo, J., Munley, E., Byrne, T., Montgomery, A., & Culhane, D. (2013). Community-level characteristics associated with variation in rates of homelessness among families and single adults. American Journal of Public Health, (1971), 103(2), S340-S347. https://doi.org/10.2105/AJPH.2013.301619
- Hagenaars J. A. & McCutcheon A. L.(Eds.) (2002). Applied latent class analysis. Cambridge University Press.
- Hanratty, M. (2017). Do local economic conditions affect homelessness? Impact of area housing market factors, unemployment, and poverty on community homeless rates. Housing Policy Debate, 27(4), 640-655. https://doi.org/10.1080/10511482.2017.1282885
- Harvard University, Joint Center for Housing Studies. (2017). America’s rental housing 2017.https://www.jchs.harvard.edu/sites/default/files/harvard_jchs_americas_rental_housing_2017_0.pdf
- Harvard University, Joint Center for Housing Studies. (2022). America’s rental housing 2022. https://www.jchs.harvard.edu/americas-rental-housing-2022
- Help Hope Home. (2022). Homelessness in Southern Nevada: 2022 homeless point-in-time count and survey. https://helphopehome.org/wp-content/uploads/2022/07/2022-Census-One-Sheeters-Combined-07-14-2022.pdf
- Herman, D. B., Susser, E. S., Struening, E. L., & Link, B. L. (1997). Adverse childhood experiences: Aare they risk factors for adult homelessness? American Journal of Public Health (1997), (87), 249–55. https://doi.org/10.2105/AJPH.87.2.249
- Honig, M., & Filer, R. K (1993). Causes of intercity variation, 1993 in homelessness. American Economic Review, 83(1). 248–55. https://www.proquest.com/scholarly-journals/causes-intercity-variation-homelessness/docview/233028213/se-2?accountid=15115
- Hopper, K., Susser, E., & Conover, S. (1985). Economies of makeshift: Deindustrialization and homelessness in New York City. Urban Anthropology, 14(1), 183-236. https://www.jstor.org/stable/40553067
- Hwang, S, Lebow, J, Bierer, M, O’Connell, J, Orav, J, & Brennan, T (1998). Risk factors for death in homeless adults in Boston. Archives of Internal Medicine, 158, 1454-1460. doi: 10.1001/archinte.158.13.1454
- Killian M. O., Cimino A. N., Weller, B. E., & Hyun Seo C. (2019). A systematic review of latent variable mixture modeling research in social work journals. Journal of Evidence-Based Social Work, 16(2), 192-210. https://doi.org/10.1080/23761407.2019.1577783
- Kloos, B., & Shah, S. (2009). A social ecological approach to investigating relationships between housing and adaptive functioning for persons with serious mental illness. American Journal of Community Psychology 44(3-4), 316–326. https://doi.org/10.1007/s10464-009-9277-1
- Liu, M., & Hwang, S. W. (2021). Health care for homeless people. Nature Reviews Disease Primers, 7(1), article 5. https://doi.org/10.1038/s41572-020-00241-2
- Liu, M., Linh, L., Lachaud, J., Edalati, H., Reeves, A., & Hwang, S.W. (2021). Adverse childhood experiences and related outcomes among adults experiencing homelessness: A systematic review and meta-analysis. Lancet Public Health, 6(11), e836-e847. https://doi.org/10.1016/S2468-2667(21)00189-4
- Lo Y., Mendell, N., & Rubin, D. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767-778. https://www.jstor.org/stable/2673445
- Lowe, J., & Gibson, S. (2011). Reflections of a homeless population’s lived experience with substance abuse. Journal of Community Health Nursing 28(2), 92–100. https://doi.org/10.1080/07370016.2011.564066
- Lupien, S.J., McEwen, B.S., Gunnar, M. R., & Heim, C. (2009). Effects of stress throughout lifespan on the brain, behaviour and cognition. Nature Reviews, Neuroscience, 10(6), 434–45. https://doi.org/10.1038/nrn2639
- Mallach, A. (2014). Lessons from Las Vegas: Housing markets, neighborhoods, and distressed single-family property investors. Housing Policy Debate, 24(4), 769-801. https://doi.org/10.1080/10511482.2013.872160
- Mayock, T., & Malacrida, R. S. (2018). Socioeconomic and racial disparities in the financial returns to homeownership. Regional Science and Urban Economics 70, 80-96. https://doi.org/10.1016/j.regsciurbeco.2018.01.003
- McChesney, K.Y. (1995). A review of the empirical literature on contemporary urban homeless families. Social Service Review, 69(3), 429-460. https://doi.org/10.1086/604134.
- McChesney, K.Y. (1990). Family homelessness: A systemic problem. Journal of Society for the Psychological Study of Social Issues,46(1), 191-205. https://doi.org/10.1111/j.1540-4560.1990.tb01806.x.
- McLachlan, G., & Peel, D. (2000). Finite mixture models. Germany: Wiley.
- Montgomery, A. E., Szymkowiak, D., Marcus, J., Howard, P& Culhane, D. P. (2016). Homelessness, unsheltered status, and risk factors for mortality: Findings from the 100,000 Homes Campaign. Public Health Reports 131(6), 765–72. https://doi.org/10.1177/0033354916667501
- Muthén, B. O., & Muthén, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism, Clinical and Experimental Research, 24(6), 882-891. https://doi.org/10.1111/j.1530-0277.2000.tb02070.x
- National Low Income Housing Coalition. (2020). The gap: A shortage of affordable homes. Washington, DC. https://nlihc.org/sites/default/files/gap/Gap-Report_2020.pdf
- National Low Income Housing Coalition. (2023). The gap: A shortage of affordable homes. Washington, DC. https://nlihc.org/news/nlihc-releases-gap-2023-shortage-affordablehomes#:~:text=The%20report%20finds%20a%20national,income%20(whichever%20is%20greater).
- Nelson, K. P., Vandenbroucke, D. A., Lubell, J. M., Schroder, M. D., & Rieger, A. (2003). Trends in worst case needs for housing, 1978-1999: A report to congress needs. https://www.huduser.gov/portal/publications/affhsg/worstcase03.html
- Nicholas, W., Greenwell, L., Henwood, B. F., & Simon, P. (2021). Using point-in-time homeless counts to monitor mortality trends among people experiencing homelessness in Los Angeles County, California, 2015‒2019. American Journal of Public Health (1971), 111(12), 2212-2222. https://doi.org/10.2105/AJPH.2021.306502
- Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14(4), 535-569. https://doi.org/10.1080/10705510701575396
- O’Flaherty, B. (2004). Wrong person and wrong place: for homelessness, the conjunction is what matters. Journal of Housing Economics, 13(1), 1-15. https://doi.org/10.1016/j.jhe.2003.12.001
- Padgett, D. K., Smith, B. T., Henwood, B. F., & Tiderington, E. (2012). Life course adversity in the lives of formerly homeless persons with serious mental illness: Context and meaning. American Journal of Orthopsychiatry, 82(3), 421–430. https://doi.org/10.1111/j.1939-0025.2012.01159.x
- Piat, M., Polvere, L., Kirst, M., Voronka, J., Zabkiewicz, D., Plante, M. C., Isaak, C., Nolin, D., Nelson, G., & Goering, P. (2015). Pathways into homelessness: Understanding how both individual and structural factors contribute to and sustain homelessness in Canada. Urban Studies, 52(13), 2366-2382. https://doi.org/10.1177/0042098014548138
- Schuetz, J. (2019). Should Las Vegas bet on homeownership? Trends in housing affordability and ownership. The Brookings Institution. https://digitalscholarship.unlv.edu/brookings_pubs/55
- Schuetz, J., & Ring, M. (2021). How did homelessness change during the great recession and recovery? The Brookings Institution. 1-10. https://digitalscholarship.unlv.edu/brookings_policybriefs_reports/6
- Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2) 461–463.https://doi.org/10.1214/aos/1176344136
- Semuels, A. (2019). When wall street is your landlord. The Atlantic, 13 February. https://www.theatlantic.com/technology/archive/2019/02/single-family-landlords-wall-street/582394/
- Seymour, E. & Akers, J. (2021). Our customer is America: Housing insecurity and eviction in Las Vegas, Nevada’s postcrisis rental markets. Housing Policy Debate, 31 (3-5), 516-539. https://doi.org/10.1080/10511482.2020.1822903
- Shelton K.H., Taylor P.J., Bonner A, & van den Bree M. (2009). Risk factors for homelessness: Evidence from a population-based study. Psychiatric Services; 60(4), 465–72. https://doi.org/10.1176/ps.2009.60.4.465
- Shinn, M. & Khadduri, J. (Eds.) (2020). In the midst of plenty: Homelessness and what to do about it. Wiley Blackwell
- Shlay, A. B., & Rossi, P. H. (1992). Social science research and contemporary studies of homelessness. Annual Review of Sociology, 18(1), 129-60. https://doi.org/10.1146/annurev.so.18.080192.001021
- Smith, C. & Castaneda-Tinoco, E. (2019). Improving homeless point-in-time counts: Uncovering the marginally housed. Social Currents, 6(2), 91-104. https://doi.org/10.1177/2329496518812451
- Tsai, J., Kasprow, W. J., & Rosenheck, R. A. (2013). Latent homeless risk profiles of a national sample of homeless veterans and their relation to program referral and admission patterns. American Journal of Public Health (1971),103(S2), S239–S247. https://doi.org/10.2105/AJPH.2013.301322
- Streeter, J.L. (2022). Homelessness in California: Causes and policy considerations. Stanford University Institute for Economic Policy Research (SIEPR), May, 1-13. https://siepr.stanford.edu/publications/policy-brief/homelessness-california-causes-and-policy-considerations
- U.S. Bureau of Labor Statistics. (n.d.). Economy at a Glance: Las Vegas – Paradise, NV. U.S. Bureau of Labor Statistics. https://www.bls.gov/eag/eag.nv_lasvegas_msa.htm
- U.S. Census Bureau (n.d.). American Community Survey (2017-2021). https://www.census.gov/programs-surveys/acs
- U.S. Department of Housing and Urban Development (HUD). (2017). The 2016 Annual Homeless Assessment Report (AHAR) to Congress. United States, 2017. Washington, DC: HUD.
- U.S. Department of Housing and Urban Development (HUD). (2008). A guide to counting unsheltered homeless people. Washington, DC: HUD
- https://popcenter.asu.edu/sites/g/files/litvpz3631/files/problems/homeless_encampments/PDFs/USDepartmentofHousingandUrbanDevelopment2008a.pdf
- U.S. Department of Housing and Urban Development (HUD). (2022). 2021 AHAR: Part 1 – PIT estimates of homelessness in the U.S. https://www.huduser.gov/portal/datasets/ahar/2021-ahar-part-1-pit-estimates-of-homelessness-in-the-us.html
- U.S. Department of Housing and Urban Development (HUD). (2023). 2023 AHAR: Part 1 – PIT Estimates of Homelessness in the U.S. https://www.huduser.gov/portal/sites/default/files/pdf/2023-AHAR-Part-1.pdf
- U.S. Department of Housing and Urban Development (HUD). (n.d.). 50th percentile rent estimates. https://www.huduser.gov/portal/datasets/50per.html#2021
- Vuong, Q. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica, 57(2), 307-333. https://doi.org/10.2307/1912557
- Wang. M. C., Deng, Q., Bi, X., Ye, H., & Yang, W. (2017). Performance of the entropy as an index of classification accuracy in latent profile analysis: A Monte Carlo simulation study. Acta Psychologica Sinica, 49(11), 1473-1482.
- Wargo, B. (2010). Las Vegas leads nation in foreclosures for 2009. Las Vegas Sun https://lasvegassun.com/news/2010/jan/27/las-vegas-leads-nation-foreclosures-2009/
- Watson, N. E., Steffan, B. L., Martin, M., & Vandenbroucke, D. A. (2017). Worst case housing needs: 2017 report to Congress. https://www.huduser.gov/portal/sites/default/files/pdf/worst-case-housing-needs.pdf
- Weller, B. E., Bowen, N. K., & Flaubert, S. J. (2020). Latent class analysis: A guide to best practice. Journal of Black Psychology. 46(4), 287-311. https://doi.org/10.1177/0095798420930932
- Williams, S., & Stickley, T. (2011). Stories from the streets: People’s experiences of homelessness. Journal of Psychiatric and Mental Health Nursing 18(5), 432–439. https://doi.org/10.1111/j.1365-2850.2010.01676.x
- Woetzel, J., Mischke, J., Peloquin, S., & Weisfield, D. (2016). A tool kit to close California’s Housing Gap: 3.5 Million Homes by 2025. McKinsey Global Institute. https://www.mckinsey.com/globalthemes/urbanization/closing-californias-housing-gap
- Wolke, D., Copeland, W. E., Angold, A., & Costello, E. J. (2013). Impact of bullying in childhood on adult health, wealth, crime, and social outcomes. Psychological Sciences, 24(10), 1958-1970. https://doi.org/10.1177/0956797613481608

