I extracted the 2010 and 2015 5-year ACS samples to increase the sample size of a small immigrant group. I am currently doing person-level analysis so use perwt when I want population estimates. I have several questions related to this decision to combine two 5-year 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 2006-2010 cases equivalent to 2011-2015 cases?
Using the 2006-2015 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 (2006-2015)?
My apologies for asking such basic questions, but I couldn’t find them in the forum.