Hey! Great question. Fixed effects are my go-to when I suspect unobserved variables are messing with my panel data. Like, if you think there’s stuff you didn’t measure but affects your outcome, FE is your friend.
Random effects? Only if you’re sure the unobserved stuff isn’t correlated with your predictors. Otherwise, you’re in for biased estimates.
Hausman test is a lifesaver—just run it in Stata or R (plm package). If it’s significant, stick with fixed effects.
Pro tip: Check out Jeff Wooldridge’s books on panel data. Super clear!
Random effects? Only if you’re sure the unobserved stuff isn’t correlated with your predictors. Otherwise, you’re in for biased estimates.
Hausman test is a lifesaver—just run it in Stata or R (plm package). If it’s significant, stick with fixed effects.
Pro tip: Check out Jeff Wooldridge’s books on panel data. Super clear!