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

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 Angele...

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Main Authors: Agans Robert P., Jefferson Malcolm T., Bowling James M., Zeng Donglin, Yang Jenny, Silverbush Mark
Format: Article
Language:English
Published: Sciendo 2014-06-01
Series:Journal of Official Statistics
Subjects:
Online Access:https://doi.org/10.2478/jos-2014-0014
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spelling doaj-7530d4d9caef44e294f3d84bdc78cfc82021-09-06T19:41:46ZengSciendoJournal of Official Statistics2001-73672014-06-0130221522910.2478/jos-2014-0014jos-2014-0014Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time CountAgans Robert P.0Jefferson Malcolm T.1Bowling James M.2Zeng Donglin3Yang Jenny4Silverbush Mark5University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.University of North Carolina, Carolina Survey Research Laboratory, 730 Martin Luther King Jr. Blvd., Bolin Creek Center, Chapel Hill, NC, U.S.A.Los Angeles Homeless Services Authority, 811 Wilshare Blvd., Los Angeles, CA 90017, U.S.ATo 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.https://doi.org/10.2478/jos-2014-0014homeless counthidden homelessunsheltered homeless populationhorvitz-thompson estimatormultiplicity-based estimator
collection DOAJ
language English
format Article
sources DOAJ
author Agans Robert P.
Jefferson Malcolm T.
Bowling James M.
Zeng Donglin
Yang Jenny
Silverbush Mark
spellingShingle Agans Robert P.
Jefferson Malcolm T.
Bowling James M.
Zeng Donglin
Yang Jenny
Silverbush Mark
Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count
Journal of Official Statistics
homeless count
hidden homeless
unsheltered homeless population
horvitz-thompson estimator
multiplicity-based estimator
author_facet Agans Robert P.
Jefferson Malcolm T.
Bowling James M.
Zeng Donglin
Yang Jenny
Silverbush Mark
author_sort Agans Robert P.
title Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count
title_short Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count
title_full Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count
title_fullStr Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count
title_full_unstemmed Enumerating the Hidden Homeless: Strategies to Estimate the Homeless Gone Missing From a Point-in-Time Count
title_sort enumerating the hidden homeless: strategies to estimate the homeless gone missing from a point-in-time count
publisher Sciendo
series Journal of Official Statistics
issn 2001-7367
publishDate 2014-06-01
description 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.
topic homeless count
hidden homeless
unsheltered homeless population
horvitz-thompson estimator
multiplicity-based estimator
url https://doi.org/10.2478/jos-2014-0014
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