Efficient Use of Commercial Lists in U.S. Household Sampling

Sampling households using commercial lists has the potential to reduce costs and to efficiently identify some subgroups for which target sample sizes are desired. However, the information on the lists for demographics like age is usually incomplete and inaccurate. We demonstrate that this inexact in...

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Bibliographic Details
Published inJournal of survey statistics and methodology Vol. 2; no. 2; p. 182
Main Authors Valliant, Richard, Hubbard, Frost, Lee, Sunghee, Chang, Chiungwen
Format Journal Article
LanguageEnglish
Published United States 01.06.2014
Subjects
domain sampling
household sampling
commercial lists
sample allocation
nonlinear programming
constrained optimization
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Summary:Sampling households using commercial lists has the potential to reduce costs and to efficiently identify some subgroups for which target sample sizes are desired. However, the information on the lists for demographics like age is usually incomplete and inaccurate. We demonstrate that this inexact information can still be used to improve the efficiency with which some, but not all, demographic subgroups can be located during sampling. The paper also illustrates the use of nonlinear programming as a means for finding sample allocations that are subject to a variety of practical constraints. A commercial address list and data from the National Survey of Family Growth and the Health and Retirement Study are used to illustrate the calculation of allocations to strata of housing units defined by information on the list.
ISSN:2325-0984
DOI:10.1093/jssam/smu006