Not a full answer, anyway:
To run Hausman's test you need to have a number of
cross-units higher than a number of
variables.
Good luck,
Bruno Thiago Tomio
Sorry for the last email, dont know what went wrong.
Here´s my
quesitons:
I´m running a panel regression, with 5 different units, 13
observations each for a total of nT=65.
1. When I test for fixed
effects, the test results shows no fxed effects presents, thus common
intercept. The thing is that with this regression everything is perfect:
normally distributed errors, homescedastic erros, highly significant
coefficiets, etc.
With the above mentioned, according to
theory I should be able to just run OLS ( pooled regrssion) because there are no
fixed effects, But when I do that I get heterescedastic errors, i
fix that but I have to modify my model afterwards.
THe
questions are:
1. Is panel regression using some kind of robust
estimation technique? such as newey west cov matrix?
2. WHen I test for
random effects i get the following message: "not enough degrees of freedom", are
we using the standard hausman test for random effects?
thanks for
everyhtihng , salu2!!
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