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Homelessness prevention in New York City: On average, it works

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  • Goodman, Sarena
  • Messeri, Peter
  • O'Flaherty, Brendan

Abstract

This study evaluates the community impact of the first four years of Homebase, a homelessness prevention program in New York City. Family shelter entries decreased on average in the neighborhoods in which Homebase was operating. Homebase effects appear to be heterogeneous, and so different kinds of averages imply different-sized effects. The (geometric) average decrease in shelter entries was about 5% when census tracts are weighted equally, and 11% when community districts (which are much larger) are weighted equally. This study also examines the effect of foreclosures. Foreclosures are associated with more shelter entries in neighborhoods that usually do not send large numbers of families to the shelter system.

Suggested Citation

  • Goodman, Sarena & Messeri, Peter & O'Flaherty, Brendan, 2016. "Homelessness prevention in New York City: On average, it works," Journal of Housing Economics, Elsevier, vol. 31(C), pages 14-34.
  • Handle: RePEc:eee:jhouse:v:31:y:2016:i:c:p:14-34
    DOI: 10.1016/j.jhe.2015.12.001
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    References listed on IDEAS

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    1. Aaronson, Daniel, 2000. "A Note on the Benefits of Homeownership," Journal of Urban Economics, Elsevier, vol. 47(3), pages 356-369, May.
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    3. Goodman, Sarena & Messeri, Peter & O’Flaherty, Brendan, 2014. "How effective homelessness prevention impacts the length of shelter spells," Journal of Housing Economics, Elsevier, vol. 23(C), pages 55-62.
    4. Shinn, M. & Greer, A.L. & Bainbridge, J. & Kwon, J. & Zuiderveen, S., 2013. "Efficient targeting of homelessness prevention services for families," American Journal of Public Health, American Public Health Association, vol. 103(S2), pages 324-330.
    5. Shinn, M. & Weitzman, B.C. & Stojanovic, D. & Knickman, J.R. & Jiménez, L. & Duchon, L. & James, S. & Krantz, D.H., 1998. "Predictors of homelessness among families in New York City: From shelter request to housing stability," American Journal of Public Health, American Public Health Association, vol. 88(11), pages 1651-1657.
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    7. Cragg, Michael & O'Flaherty, Brendan, 1999. "Do Homeless Shelter Conditions Determine Shelter Population? The Case of the Dinkins Deluge," Journal of Urban Economics, Elsevier, vol. 46(3), pages 377-415, November.
    8. O'Flaherty, Brendan & Wu, Ting, 2006. "Fewer subsidized exits and a recession: How New York City's family homeless shelter population became immense," Journal of Housing Economics, Elsevier, vol. 15(2), pages 99-125, June.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Skyscrapers, Housing, and Cities: A Q&A Interview with Ingrid Gould Ellen (Part I)
      by Jason Barr in Skynomics Blog on 2019-06-17 12:27:37

    Citations

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    Cited by:

    1. William N. Evans & David C. Philips & Krista J. Ruffini, 2019. "Reducing and Preventing Homelessness: A Review of the Evidence and Charting a Research Agenda," NBER Working Papers 26232, National Bureau of Economic Research, Inc.
    2. David C. Phillips, 0. "Measuring Housing Stability With Consumer Reference Data," Demography, Springer;Population Association of America (PAA), vol. 0, pages 1-22.
    3. O'Flaherty, Brendan, 2019. "Homelessness research: A guide for economists (and friends)," Journal of Housing Economics, Elsevier, vol. 44(C), pages 1-25.
    4. David C. Phillips, 2020. "Measuring Housing Stability With Consumer Reference Data," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1323-1344, August.
    5. William N. Evans & David C. Phillips & Krista Ruffini, 2021. "Policies To Reduce And Prevent Homelessness: What We Know And Gaps In The Research," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 914-963, June.

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    More about this item

    Keywords

    Homelessness prevention; Shelter entries; Family homelessness; New York City; Quasi-experimental; Theory of prevention evaluation;
    All these keywords.

    JEL classification:

    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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