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Aggregate-level inferences from individual-level data: The case of permanent supportive housing and housing first

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  • O'Flaherty, Brendan

Abstract

I estimate the “simple mechanical effect” of permanent supportive housing and Housing First as studied in the At Home/Chez Soi and HUD-VASH experiments on point-in-time counts of homelessness (HUD definition). The simple mechanical effect is the effect that would occur in the absence of any behavioral responses aside from those in the experiments. The estimates of the simple mechanical effects overlap the confidence intervals in Corinth's (2017) regression study of the total effect. This finding suggests that the net effect of behavioral responses outside the experiments is small. The essay illustrates how useful inferences about aggregate-level phenomena can be derived from individual-level data.

Suggested Citation

  • O'Flaherty, Brendan, 2023. "Aggregate-level inferences from individual-level data: The case of permanent supportive housing and housing first," Journal of Housing Economics, Elsevier, vol. 59(PA).
    • Handle: RePEc:eee:jhouse:v:59:y:2023:i:pa:s1051137722000857
    DOI: 10.1016/j.jhe.2022.101913
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    References listed on IDEAS

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    1. Corinth, Kevin, 2017. "The impact of permanent supportive housing on homeless populations," Journal of Housing Economics, Elsevier, vol. 35(C), pages 69-84.
    2. 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.
    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. Stefan G. Kertesz & Guy Johnson, 2017. "Housing First: Lessons from the United States and Challenges for Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(2), pages 220-228, June.
    5. 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.
    6. 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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