01397nam a2200145 a 450000500170000000800400001710000260005724501060008326400160018933600090020533800200021452009050023450600460113985600660118520260901030415.0250101s2019    xx     o     000 0 eng d1 aMaria Michela Dickson10aDouble-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys 1barXivc2019  atext  aonline resource  aUnder-coverage and nonresponse problems are jointly present in most socio-economic surveys. The purpose of this paper is to propose a completely design-based estimation strategy that accounts for both problems without resorting to models but simply performing a two-step calibration. The first calibration exploits a set of auxiliary variables only available for the units in the sampled population to account for nonresponse. The second calibration exploits a different set of auxiliary variables available for the whole population, to account for under-coverage. The two calibrations are then unified in a double-calibration estimator. Mean and variance of the estimator are derived up to the first order of approximation. Conditions ensuring approximate unbiasedness are derived and discussed. The strategy is empirically checked by a simulation study performed on a set of artificial populations.0 aOpen access — freely available to read.40uhttps://arxiv.org/pdf/1905.03530v1yRead the full paper (PDF)