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I just read your posts about endogeneity.
In my case, I am analyzing a matched panel data through conditional logistic models (clogit distress_ prof fe re, group(match_) and I think that there may be a two-way relationship between the dependent and one independent variable.
Could anyone tell me how we could do an endogeneity test in our model?
Thank you in advance.
Is it correctly understood, that xtoverid can be used after running a RE regression, such as
Code:
xtreg y x1 x1...xn, re
?
With the hausman command I would need to estimate store after having run both and FE and RE model. But it seems that I can test whether I should use RE or FE without any regards to the FE model when using xtoverid as a kind of post estimation command?
Mads:
you're correct,
-xtoverid- re-estimates a fixed effect regression itself: hence, providing robustified/clustered -xtreg, re- equation is enough for making the comparison running.
Mads:
you're correct,
-xtoverid- re-estimates a fixed effect regression itself: hence, providing robustified/clustered -xtreg, re- equation is enough for making the comparison running.
Hey Carlo
Thanks for your answer! I have an additional question. (The following is mainly based on Wooldridge 2016)
This debate/thread concerns itself with the choice between a Fixed Effect model and a Random Effect model. I thought that the choice was Fixed effects or First difference against Random Effects or Pooled OLS. So if i based on the xtoverid command decide against Random Effects, how should I choose between Fixed Effects and First difference?
Because I was under the impression that Fixed Effects in only more efficient than First Difference when Uit is serially uncorrelated. I am not sure how to test whether that's the case?
Mads:
what if you run -xtreg, fe- with roubustify/cluster your standard errors on -panelid- and compare your coefficients with those obtained with first difference?
Peter:
as per -xtoverid- helpfile, it does not seem necessarily so.
However, there are situations in which -xtoverid- clearly outpeforms -hausman- (e.g., comparing -fe- vs -re- specification with robustified/clustered stndard errors).
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