Random Effects estimators as fGLS

[@nguyendattan638]

thanks alot, Mr.Ben Lambert you are my hero

[@RD-dd4cv]

You are the man, i think i'm gonna pass my test in Panel Data because of your videos, keep up the good work

[@rareclassicmovies6429]

You previously mentioned that we use RE because POLS is not applicable but FE is more difficult, but here we do FE as the first step of using RE! It means that using RE is more complicated that using FE!

[@fatmaosama4213]

great explanation, thanks

[@TÔMTIÊNYÊN]

Thank you Sir, how can we estimate the lamda hat ?

[@lastua8562]

Does sigma u refer to variance in i or t or both?

[@lastua8562]

You say we estimate lambda - Should we not have a confidence interval around it?

[@shilpidas4421]

Can you give me the related reference book for this topic?

[@ecozi]

I don't understand what random sample in CS means. Aren't we following the same people through time when working with panel data of individuals? Then this assumption wouldn't hold, right? Can anyone explain please?

[@lastua8562]

not in pooled OLS. Here, we just have repeated cross-sections. --- well, that is what pooled OLS is. But if we have panel data, I guess we just "treat it" as it were repeated cross sections. We pool the data together as if there were no country/area/region/alpha-term included.

[@TheMinstrel55]

please organise these videos,they are good.

[@lastua8562]

his profile has playlists nowadays.

[@jaminfree]

sigma u, not sigma mu