Author
Summary
The longitudinal analysis of household surveys is complicated by changes in the composition of the sampled households over time: so-called ‘longitudinal households’. If one chooses household as the unit of analysis then questions arise as to how to define the household as new members arrive, old ones leave, or the household breaks up completely. These questions can be avoided by taking individual as the level of analysis, but this approach treats individuals as being in their own separate worlds and ignores the influences of other household members. In this workshop, we will review the methodology that has been developed to address this problem, and give guidance for practice. This workshop will comprise three papers: 1. About longitudinal households: We will discuss household change in the British Household Panel Survey (BHPS) and Understanding Society, the forces behind these changes, and the implications of these changes for the definition of the longitudinal household. 2. Longitudinal modelling with longitudinal households: Standard multilevel models include random effects for households but are unrealistic for longitudinal households. Analyses can be divided into those with individual-level and household-level outcomes. We will review the use of multilevel models for this purpose, including multiple-membership models, and illustrate with BHPS examples on health for individual-level outcomes, and residential mobility for household-level outcomes. 3. Handling drop-out: Techniques for handling drop-out (and other missing data) using weights and model-based techniques will be reviewed.
Subjects
Link
https://www.understandingsociety.ac.uk/scientific-conference-2015/papers/75