Adjustment for nonresponse with variables from different sources: Bias correction and precision loss, with application to the Swiss European Social Survey 2012. Issue 2 (3rd April 2017)

• Record Type: Journal Article
• Authors: Vandenplas, Caroline; Stähli, Michèle Ernst; Joye, Dominique; Pollien, Alexandre
• Is Part Of: Mathematical population studies. Volume 24:Issue 2(2017)
• Page Start: 103
• Page End: 125
• Publication Date: 2017-04-03
• Subjects: adjustment for nonresponse -- auxiliary variables -- nonresponse survey -- nonresponse bias -- precision of estimates; Demography -- Mathematical models -- Periodicals; Demography -- Mathematics -- Periodicals; 304.60724
• DOI: 10.1080/08898480.2016.1271656
• Languages: English
• ISSNs: 0889-8480

Abstract

ABSTRACT: 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.