We propose a new view of initial nonresponse bias in longitudinal surveys. Under certain conditions, an initial bias … for respondents and nonrespondents, and attrition in later panel waves must not depend on the state of the individuals …

and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic … bias, even after correcting for observable differences between participants and nonparticipants. We apply a range of … existing methods that account for nonresponse bias due to unobserved differences, including worst-case bounds, bounds that …

Many household panel surveys have experienced decreasing response rates and increasing risk of nonresponse bias in … recent decades, but trends in response rates and nonresponse bias in business or establishment panel surveys are largely … understudied. This article examines both panel response rates and nonresponse bias in one of the largest and longest …

demography is used to show that an initial bias can "fade-away" in later panel waves, if the transition laws in the observed …We propose a novel view of selection bias in longitudinal surveys. Such bias may arise from initial nonresponse in a … probability sample, or it may be caused by self-selection in an internet survey. A contraction theorem from mathematical …

Nonresponse in surveys may result in a distortion of the distribution of interest. In a panel survey the participation … restates a result for Finland for the ECHP (European Community Household Panel). A second condition concerns the selectivity of … panel attrition after wave one. Here panel attrition must not depend on the income state of the previous panel wave. The …

strategies for German wealth panel data. The authors create simulation data sets by blanking out observed data points: they … performance of multiple imputation using chained equations (MICE), an imputation procedure for panel data known as the row …

strategies for German wealth panel data. The authors create simulation data sets by blanking out observed data points: they … performance of multiple imputation using chained equations (MICE), an imputation procedure for panel data known as the row …

Numerous panel surveys around the world use multiple modes of data collection to recruit and interview respondents …. Previous studies have shown that mixed-mode data collection can improve response rates, reduce nonresponse bias, and reduce … disentangle both nonresponse and measurement error biases in the long-running mixed-mode economic panel study "Labour Market and …

way to identify both direction and magnitude of potential sample bias in household panels. The idea is to exploit multiple … types of simultaneous entries into the panel. The little known phenomenon of natural refreshments, which adds to entries … through refreshments induced by data collectors, allows disentangling attrition bias from measurement errors connected to …