Understanding Society User Support

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Understanding Society User Support Team

Cameron,

It sounds like you are using pooled analysis. I suggest you search for other similar questions on this forum as you may find previous discussions with other users useful.
If you want to come back to us please let me know which information you include in your analysis - I am interested in which waves and instruments the information comes from. So, are you interested in previous experience and its influence on current situation or are you studying data cross-sectionally, but pooling it over time?

Thank you,
Olena

Dear Olena,

Thank you for your reply.

Yes, my mistake on the cross-sectional weight in the second question. My first question still stands in trying to understand the comment (if I was to use longitudinal weights for an analysis).

However, for my second question, I do believe I should be using cross-sectional weights. I am running a regression using all waves with at the individual level using the restriction of a SOC code. Thus, the individual may be present in some years and not others if they change SOC. I am using some individual controls such as age, education, gender, as well as some ttwa level controls, such as the share of workers that are female in a given ttwa year, and year and ttwa fixed-effects. Thus, when I calculate the shares I may not be using the same sample as the in the regression.

Thank you!
Cameron

Cameron,

Yes, from what you have said it sounds like you would need cross-sectional weights. As long as you don't use any previous information from other waves in your regression you should use a relevant cross-sectional weight for each wave (so weight b_ for wave 2, weight c_ for wave 3 etc.) Please remember to take into account clustering within PSU - this is especially important in pooled analysis.

I am not sure what you mean by 'shall I collapse with the weight (i.e., indpxus_lw ?) ' in your first question. Are you planning to include a weight in your analysis as a covariate?

Thanks,
Olena