Hello:
I am using R 3.0.2.
I have panel data on countries' renewable energy net generation (and installed
capacity) over time. I am regressing these dependent variables on various
socioeconomic variables, as well as binary policy variables. I have have done
basic OLS, but I wanted to explore both fixed effects models, as there are
likely significant country effects (using plm) and robust regression (using
rlm), as Q-Q plots indicate that there are some strong outliers. This might be
a question of apples and oranges, but how do I compare the goodness of fit of
the fixed effects models with the robust regression models? One can use
F-tests to compare OLS and the fixed effects, and since the OLS and robust
regressions have the same number of DFs, looking at the residual standard error
is insightful. Any help would be appreciated.
Cheers,
Michael
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