Abstract
The nonresponse adjustment estimator, derived in this paper by standard regression tools, is surprising by its form. The weights of the new estimator, called the f-estimator, are (general) inverses of the respective weights in the classical linear calibration estimator and propensity adjusted estimator. In a simulation experiment on real data, the new estimator is the best for several study variables.
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