Double-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys (Record no. 713)

000 -LEADER
fixed length control field 01443nam a2200169 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260901030415.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250101s2019 xx o 000 0 eng d
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Maria Michela Dickson
245 10 - TITLE STATEMENT
Title Double-calibration estimators accounting for under-coverage and nonresponse in socio-economic surveys
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer arXiv
Date of production, publication, distribution, manufacture, or copyright notice 2019
336 ## - CONTENT TYPE
Content type term text
338 ## - CARRIER TYPE
Carrier type term online resource
520 ## - SUMMARY, ETC.
Summary, etc. Under-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.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open access — freely available to read.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://arxiv.org/pdf/1905.03530v1">https://arxiv.org/pdf/1905.03530v1</a>
Link text Read the full paper (PDF)
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Koha item type Electronic resource (link)
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      Available online General Yegates University Library Yegates University Library Science and Computing 09/01/2026   YGE000974 09/01/2026 https://arxiv.org/pdf/1905.03530v1 09/01/2026 Research paper — read online