Hi folks,

I am working on a panel regression analysis of crime outcomes at the census block group level, and I am using ACS data as covariates.

My study period is 2014 - 2018, with my unit of time as meteorological season (so overall, T = 19).

Unfortunately, using fixed effects (as suggested by my model specification tests) wash out time-invariant variables. Thus, if I use 2018 5-year ACS estimates, my covariates essentially get removed from my analysis (as they would not be changing during my study period). And, unfortunately, 1-year estimates are not available at the BG level.

So my question is this: for each year in my study, would it be reasonable to use each year's respective 5-year estimate to explain my covariates? This would give me some time-related variance in my covariates, but I'm having trouble deciding if it is methodologically sensible?

Regards (and happy holidays!),

Shaun Post