A new pseudo-likelihood estimator, Overlap-Excluded, uses survey units not present in the big dataset to estimate selection propensities and produces more efficient inverse-probability-weighted estimates in simulations.
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Estimating Propensities of Selection for Big Datasets via Data Integration
A new pseudo-likelihood estimator, Overlap-Excluded, uses survey units not present in the big dataset to estimate selection propensities and produces more efficient inverse-probability-weighted estimates in simulations.