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A regression approach to estimating the average number of persons per household
Author(s) -
Stanley K. Smith,
June Marie Nogle,
Scott Cody
Publication year - 2002
Publication title -
demography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.099
H-Index - 129
eISSN - 1533-7790
pISSN - 0070-3370
DOI - 10.1353/dem.2002.0040
Subject(s) - statistics , population , regression , unit (ring theory) , estimation , regression analysis , demography , geography , econometrics , mathematics , economics , mathematics education , management , sociology
In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regression models in which PPH estimates were based on symptomatic indicators of PPH change. We tested these estimates using county-level data in four states and found them to be more precise and less biased than estimates based on more commonly used methods.

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