Effects of interviewers on response to income and wealth items
TLDR
Interviewer expectations about respondent willingness to report income significantly impact actual financial item response rates.
Key contributions
- Interviewer expectations about response willingness significantly influence actual financial data reporting.
- Analyzed 41,934 respondents across 12 countries using SHARE data to link interviewer expectations to nonresponse.
- Higher interviewer expectations for income reporting led to respondents providing more financial information.
- Compared three missing covariate methods, noting model averaging did not clearly outperform simpler approaches.
Why it matters
This paper highlights the critical role of interviewer expectations in financial survey data collection. Understanding this link can inform interviewer training and improve survey fieldwork design, ultimately reducing persistent item nonresponse to sensitive financial questions.
Original Abstract
Item nonresponse to financial questions is a persistent source of survey error, especially in interviewer-administered surveys. We examine whether interviewers' expectations about respondents' willingness to report income are associated with actual item responses to income and asset questions in Wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE). Using data from 41,934 respondents in 12 countries, linked to interviewer survey and roster information, we analyze responses to four financial items with substantial nonresponse. We compare three approaches to handling missing covariates: complete-case analysis, multiple imputation (fill-in methods), and a generalized missing-indicator framework with information-criterion-based model averaging. Across most specifications, respondents interviewed by interviewers with higher expected income response rates are more likely to provide financial information. However, model averaging does not yield clear gains over simpler approaches. The results suggest that interviewer expectations contain useful information for understanding and modeling item nonresponse to sensitive financial items, with potential implications for interviewer training and survey fieldwork design.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.