Dear statalist members,
I am trying to compare the efficiency of OLS vs. 2SLS vs SUR to justify the selection of methodology for my study. I know how to use hausman to compare fixed vs. random effects, but cannot find a way how to do comparison between the three methods mentioned above.
specifically, my problems is as following:
1. I have 2 model that I test using SUR -
- both equation at once, so no problems to store estimates
2. now, to compare SUR outcome with OLS (for example) I need to combine eq1 and eq2 into a system of equations for OLS somehow... I was think to do it using SEM (gsem) but not sure if that would be correct.
3. no idea how to do the comparison with 2sls. I cannot
4. extra question that maybe you can help me with - the error terms do correlate (Breusch-Pagan test), but all my regressors are the same in both equations. I read several various explanations of SUR and I could not get a clear answer whether in this case SUR should be more efficient than OLS.
thank you in advance
C.
I am trying to compare the efficiency of OLS vs. 2SLS vs SUR to justify the selection of methodology for my study. I know how to use hausman to compare fixed vs. random effects, but cannot find a way how to do comparison between the three methods mentioned above.
specifically, my problems is as following:
1. I have 2 model that I test using SUR -
Code:
sureg (eq 1) (eq 2), corr
2. now, to compare SUR outcome with OLS (for example) I need to combine eq1 and eq2 into a system of equations for OLS somehow... I was think to do it using SEM (gsem) but not sure if that would be correct.
3. no idea how to do the comparison with 2sls. I cannot
4. extra question that maybe you can help me with - the error terms do correlate (Breusch-Pagan test), but all my regressors are the same in both equations. I read several various explanations of SUR and I could not get a clear answer whether in this case SUR should be more efficient than OLS.
thank you in advance
C.
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