Item nonresponse is a significant concern since the power of survey data can be overridden if the information requested in a questionnaire is not provided. Interviewers are pinpointed as important in influencing the item nonresponse rates of studies. However, the literature is highly inconsistent regarding the interviewer characteristics responsible for this influence, and there is limited research focusing on the importance of interviewers’ attitudes and behaviours. This study, therefore, aims to understand which characteristics of the interviewers working for the Survey of Health Ageing and Retirement in Europe (SHARE) (wave 6) are associated with income nonresponse. Multilevel logistic regression models …

In most social surveys, the elderly institutionalized population is not part of the target population because it is considered as hard-to-reach and hard-to-interview. The deliberate exclusion of institutionalized elderly from survey samples might cause bias, like previous studies investigating institutionalized elderly persons and their transition to institutions implied. We use a Monte Carlo simulation based on cross-national samples of the Survey of Health, Ageing and Retirement in Europe (SHARE) to test whether the noncoverage and undercoverage of the elderly institutionalized population lead to biased estimates. Moreover, we examined to what extent weights could be used to correct for the underrepresentation …