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Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count

Author

Listed:
  • Agans Robert P.

    (University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.)

  • Jefferson Malcolm T.

    (University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.)

  • Bowling James M.

    (University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.)

  • Zeng Donglin

    (University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.)

  • Yang Jenny

    (University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.)

  • Silverbush Mark

    (Los Angeles Homeless Services Authority, 811 Wilshare Blvd., Los Angeles, CA 90017, U.S.A)

Abstract

To receive federal homeless funds, communities are required to produce statistically reliable, unduplicated counts or estimates of homeless persons in sheltered and unsheltered locations during a one-night period (within the last ten days of January) called a point-in-time (PIT) count. In Los Angeles, a general population telephone survey was implemented to estimate the number of unsheltered homeless adults who are hidden from view during the PIT count. Two estimation approaches were investigated: i) the number of homeless persons identified as living on private property, which employed a conventional household weight for the estimated total (Horvitz-Thompson approach); and ii) the number of homeless persons identified as living on a neighbor’s property, which employed an additional adjustment derived from the size of the neighborhood network to estimate the total (multiplicity-based approach). This article compares the results of these two methods and discusses the implications therein.

Suggested Citation

  • Agans Robert P. & Jefferson Malcolm T. & Bowling James M. & Zeng Donglin & Yang Jenny & Silverbush Mark, 2014. "Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count," Journal of Official Statistics, Sciendo, vol. 30(2), pages 215-229, June.
    • Handle: RePEc:vrs:offsta:v:30:y:2014:i:2:p:15:n:4
    DOI: 10.2478/jos-2014-0014
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    Cited by:

    1. Meyer, Bruce D. & Wyse, Angela & Corinth, Kevin, 2023. "The size and Census coverage of the U.S. homeless population," Journal of Urban Economics, Elsevier, vol. 136(C).

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