Understanding Society User Support

Lisa,

Thank you for your question. Yes, you should use tailored weights, accounting for nonresponse of both parents at at 21 or after. Your situation is a bit complex because you pool information from any age of before 10 (unlike just from age of 10). The best weight therefore would be the weight at the time of entrance to the study of the child: it's either at the time of selection (1991, 1999, 2001, UKHLS wave 1 or 6) or at the time of birth. Your starting pool should be all children (regardless of whether they live with parents at the time of observation). This is because some children enter the study at the age of 10, and their history of living with both parents is missed. From this pool of all children (under 10 at any point of time from 1991 to wave 2 (I think)) you should model a chance of them to have lived with both parents, who also responded, and also the person responded after the age of 21 - through one model.

Your challenge would be to find the same predictors from across all waves of BHPS and UKHLS, so the number may be a bit limited. Alternatively, you could run separate models for some sets of children.

I suggest scaling of weights, because some cohorts will be better represented than others. But unlike in other situations, I suggest you scale the weights by year of birth, adjusting it to that of official statistics, such that proportion of children from each year of birth reflect the population proportions.

Hope this helps,
Olena