I am researcher interested in combining the PRCS with the ACS, as I am interested in learning how nativity differences among Puerto Ricans are associated with different outcomes. I learned that the PRCS, as downloaded from the IPUMS USA website, does not have cluster and strata variables. So, I am wondering how to best account for the complex sample design of both surveys when doing my analysis.
Would you recommend me to create a value for the cluster and strata that identify respondents from the PRCS, so I can use the cluster and strata in my analysis? That is, to give the strata and cluster variables a random value for those interviewed by the PRCS. OR Would you recommend me to use the replicate weights instead?
I used the replicate weights for the mean estimations and regression analysis, which works fine. However, I am having problems running post-estimation commands after using the replicate weights because the STATA post-estimation commands are based on the assumption that the standard errors are linearized NOT brr.
I would appreciate your help about how to best account for the complex survey design of a sample from a dataset that combines the PRCS with the ACS.
Thanks in advance for your help,