I am interested in tracking the changes in MIGRATE1 responses across race and income for all the PUMAs or available counties in one state. I am interested in changes by decade but also year to year.
I am confused about which samples to choose from for year-to-year comparison. I understand that standard errors are smaller in 5-year collections because they pool five years, does this mean that I’m better off using 1-year samples if I want 2017, 2016, 2015,…,2011 estimates? Or that for better accuracy, I might as well forget about year-to-year changes and just use non-overlapping 5-year sets 2008-2012 and 2013-2017?
What about mixing the length of collected samples, using 1-year files, then 3-year files? Since each sample contains weights and error, would it be too detrimental to use varying lengths of samples?