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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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!! Hotmail: Powerful Free email with security by Microsoft. Get it now. |
