Panel Data Regression 8of9 - Random Effects on EViews

[@ngominhhieu6602]

Big thanks !! Your lectures are very useful for me.

[@VSP4591]

Very well explained. Thank you.

[@emredunder9108]

Thanks for the video. Is there any way to check heteroskedasticity in panel regression models with E Views?

[@PatObi]

Yes. Residual diagnostics might work. However, and in my view, this shouldn't be such a big deal when using log data.

[@alulaish]

Thanks, Pat very helpful, I couldn't find a clear interpretation of random effect cofficents. can you give us standard intrprtitation like linear OLS reg?

[@PatObi]

I did so in the Pooled OLS output. Same interpretation as in Pooled OLS and FE estimation.

[@aminaahmedalibelal5676]

Thank you so much. Is it possible to perform Rolling regression analysis and show how to determine the window?

[@victor891107]

what hapend when in my solution there is a R^2 near to ZERO, how could i interpretate this? how could i interpretate my research?

[@PatObi]

Your model does not explain any amount of the variance of your dependent variable.

[@victor891107]

@@PatObi Couldn't it be concluded that the independent variables DO NOT AFFECT the dependent variable?

[@zoeynguyen6810]

I don't understand how in video 3, FEM captures time-invariant heterogeneity across firms, but here time-invariant variables cancel out. Thank you.

[@Amazing056]

On 5:48, in the denominator in the lambda equation, you multiply variance by 200, the number of observations.. is T here meant to be that - the number of observations, or should it be 20, number of time periods?

[@SM27_11]

Sir, which version of eviews u r using?