We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic that used randomly assigned financial incentives to...

Researchers and policy makers face significant challenges in selecting a method to conduct remote surveys, especially when collecting sensitive information or during turbulent life stages of hard-to-reach groups. In the context of the COVID-19 lockdown, we randomly selected about 600 adults in...

This paper reviews literature dealing with the issue of detecting interviewers who falsify survey data. The most reliable method of detecting falsifiers is through face-to-face reinterviewing of survey participants. However, only a limited number of participants can usually be reinterviewed. A...

We analyse response patterns to an important survey of school children, exploiting rich auxiliary information on respondents' and non-respondents' cognitive ability that is correlated both with response and the learning achievement that the survey aims to measure. The survey is the Programme for...