Estimation from Combined Probability and Non-probability Samples under Uncertain Sampling Overlap

Julie Gershunskaya Speaker
US Bureau of Labor Statistics
 
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.

Keywords

data combining

non-probability sample

participation probabilities

reference sample