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. © Statistics Sweden.
CITATION STYLE
Agans, R. P., Jefferson, M. T., Bowling, J. M., Zeng, D., Yang, J., & Silverbush, M. (2014). Enumerating the hidden homeless: Strategies to estimate the homeless gone missing from a point-in-time count. Journal of Official Statistics, 30(2), 215–229. https://doi.org/10.2478/jos-2014-0014
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