Can you use the Strata and Cluster variables, paired with linearization, to obtain confidence intervals around estimates in the 2013 ACS?
Are there any disadvantages to doing that, as opposed to estimating confidence intervals with the replicate weights? I notice that there’s some description of this on this page (https://usa.ipums.org/usa/complex_sur…)
which gives commands like this:
svyset cluster [pweight=perwt], /// strata(strata) svy, subpop(if age \>= 65): mean var1 I checked out this document ([https://usa.ipums.org/usa/resources/c...](https://usa.ipums.org/usa/resources/complex_survey_vars/WorkingPaper2007-02.pdf)) But I wasn't sure if the same findings (about linearization vs. replication methods) applied to the 2013 ACS. Many thanks.