I extracted the 2010 and 2015 5year ACS samples to increase the sample size of a small immigrant group. I am currently doing personlevel analysis so use perwt when I want population estimates. I have several questions related to this decision to combine two 5year ACS samples:
 When using perwt with pooled data it effectively doubles the weighted population size. What should I do to get accurate population figures? I was thinking create new person weights that for the 2010 sample do this:
perwt2 for 2010 sample cases X (2010 ACS popuplation/(2010 ACS population + 2015 ACS population))
and for 2015 sample cases do this:
perwt2 for 2015 sample X (2015 ACS popuplation/(2010 ACS population + 2015 ACS population))

Using weighted data to estimate confidence intervals for univariates and significance levels for multivariate tests I assume the perwt needs adjusting to make it so the weighted data # of cases equals the actual sample size. So I plan to create new perwts like this: perwt3 = perwt X (sample/population). Again, I would do this separately for the 2010 and 2015 cases. Is this correct?

If I want to analyze income levels or home values are there multipliers available to make income for 20062010 cases equivalent to 20112015 cases?

Using the 20062015 pooled data, I’m guessing there are individuals who are respondents twice. Is this correct? If yes, is there something I can/should do to address this?

What other problems should I be aware of when using this pooled ACS data (20062015)?
My apologies for asking such basic questions, but I couldn’t find them in the forum.