TY - JOUR
AU - Henry, Kimberly A
AU - Valliant, Richard
PY - 2009/03/30
Y2 - 2024/02/29
TI - Comparing Sampling and Estimation Strategies in Establishment Populations
JF - Survey Research Methods
JA - SRM
VL - 3
IS - 1
SE - Articles
DO - 10.18148/srm/2009.v3i1.72
UR - https://ojs.ub.uni-konstanz.de/srm/article/view/72
SP - 27-44
AB - Population structure is a key determinant of the efficiency of sampling plans and estimators. Variables in many establishment populations have structures that can be described by simple linear models with a single auxiliary variable and a variance related to some power of that auxiliary. If a working model can be devised that is a good approximation to the population structure, then very efficient sample designs and estimators are possible. This study compares alternative strategies of (i) selecting a pilot study to estimate the variance power and using that estimate to select a main sample and (ii) selecting a only main sample based on an educated guess about the variance power. We also examine a number of sampling plans, including probability proportional to size, deep stratification based on a measure of size, and weighted balanced sampling. Population totals are estimated by best linear unbiased predictors, general regression estimators, and some other choices often used in practice.
ER -