Adjustment for nonresponse with variables from different sources: Bias correction and precision loss, with application to the Swiss European Social Survey 2012

Détails

ID Serval
serval:BIB_CDBC18A89C23
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Adjustment for nonresponse with variables from different sources: Bias correction and precision loss, with application to the Swiss European Social Survey 2012
Périodique
Mathematical Population Study
Auteur(s)
Vandenplas  Caroline, Ernst Stähli  Michèle, Joye  Dominique, Pollien  Alexandre
ISSN
0889-8480 (Print,1547-724X)
Statut éditorial
Publié
Date de publication
23/05/2017
Peer-reviewed
Oui
Volume
24
Numéro
4
Pages
103-125
Langue
anglais
Notes
Special Issue "Dealing with nonresponse: Strategies to increase participation and methods for post-survey adjustments"
Résumé
Adjustment for nonresponse should reduce the nonresponse bias without decreasing the precision of the estimates. Adjustment for nonresponses are commonly based on socio-demographic variables, although these variables may be poorly correlated with response propensities and with variables of interest. Such variables nevertheless have the advantage of being available for all sample units, whether or not they are participating in the survey. Alternatively, adjustment for nonresponse can be obtained from a follow-up survey aimed at sample units which did not participate in the survey and from which the variables are designed to be correlated with response propensities. However, information collected through these follow-up surveys is not available for people in the sample who participated neither in the survey nor in its nonresponse follow-up. These two sets of variables when used in a nonresponse model for the Swiss European Social Survey 2012 differ only slightly with regard to their effect on bias correction and on the precision of estimates. The variables from the follow-up are performing slightly better. In both cases, the adjustment for nonresponse performs poorly.
Mots-clé
nonresponse adjustment, auxiliary variables, nonresponse survey, nonresponse bias, estimate's precision
Création de la notice
14/12/2015 13:42
Dernière modification de la notice
03/03/2018 21:30
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