Estimation from Combined Probability and Non-probability Samples under Uncertain Sampling Overlap
Thursday, Aug 7: 10:35 AM - 10:55 AM
Topic-Contributed Paper Session
Music City Center
Under a quasi-randomization approach to inferences from a non-probability sample, the unknown sample participation probabilities are estimated by combining the non-probability set with a reference probability sample. There could be a substantial overlap between the two sets; however, the identity of units belonging to both the non-probability and reference samples are usually unknown to the analyst. If records are not linked, approximate methods (such as, record linkage) could be applied. We study feasibility of using statistically linked sets under several scenarios of an uncertain non-probability and probability samples overlap.
data combining
non-probability sample
participation probabilities
reference sample
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