st: non-response weights

[Andrew Mitchell <amitchel@hsph.harvard.edu>]

I am attempting to create weights to account for non-response and am 
wondering if my approach seems correct.  Non-response to my outcome 
variable of interest occurred because potential respondents were not 
present in a given household when interviewers came by (all household 
members present were interviewed).  However, I do have 
socio-demographic data on those respondents - such as years of 
education, age, marital status, gender - which, in turn, appear to be 
related to whether or not respondents were present (a quick-and-dirty 
logistic regression with "not present" as the outcome indicated 
significant socio-demographic relationships).  I believe that this 
situation lends itself to non-response weighting in my regressions, but 
I have a couple of questions I'm hoping someone can clarify:
1) the svy/survwgt package appears to create non-response weights by 
re-calibrating sample design weights.  My dataset does not include 
sample design weights because every person present in a given household 
was interviewed (or proxied for in the case of children).  Assuming 
that the sample represents a random selection of households, is there 
any problem with assigning everyone a sample design weight of "1"? The 
non-response re-calibration would then adjust in relation to that 
(constant) weight.
2) can the resulting weight generated by the "survwgt nonresponse" 
command entered directly into the svyset command (e.g., "svyset 
[pweight=nonresponsewgt], strata(householdid)")?

Thanks for any guidance people can provide.

Andrew Mitchell



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