I am glad that there are people like you out there Ben! People that transform something unappealing into an easy and understandable model with good structure. For sure there isn't everything someone can know about the topic in each video but it has great introduction and intuition. Thanks for all the help!
To clear some confusion. Weak exogeneity (+ no collinearity and linearity) is enough to show an OLS estimator is consistent. But to show OLS is unbiased we NEED the strict exogeneity assumption. Check chapter 11, page 385 of intro to econometrics by Woolridge.
Hi Ben, Great video! Just a small question: Don't we need strict exogeneity here to establish consistency? Because after we demean the data the error term became (miu - miu bar), and miu bar contains all the error terms, which means we need all the error terms to be uncorrelated to all the HPs to achieve consistency in OLS estimates right?
@@jaspalchanna4025 But it was not even present in the first model, where we should have added it in theory - to make it consistent with the previous videos, or not?
Very nice Video!! Could you help me using Fixed-effects model on a case where we want to measure if board independence has an effect on firm performance? Do I also need to refer to time? How is the equation then? Thanks a lot! Thank you so much!
So what will the Beta represent in this case? The change in the difference from the mean with respect to the change in the difference of either covariate? So is this a measure of how certain factors will disrupt an outcome away from it's time trend? Thanks for the videos!
Hello! Did you ever figure this out? What I find online is that the interpretation is typical OLS marginal effects, but what you said has always made more sense to me
Hey great video I have watched the other ones too. I am working on a paper and as far as I´m concerned FE is used to determine unobservable effects of mothers. They say mothers differ in observable and unobservable ways. What could it mean when it says Mother fixed effects? Are they basically comparing mothers that have the same traits (as of the questionaire) and comparing the outcome of this group?
Ben seriously thank you for all your videos, you have made Econometrics infinitely more palatable for me.
I am glad that there are people like you out there Ben! People that transform something unappealing into an easy and understandable model with good structure. For sure there isn't everything someone can know about the topic in each video but it has great introduction and intuition. Thanks for all the help!
God bless you.I had spent 3 entire days on this without a conclusion. You illuminated me in just 7 minutes.
Ben u are a legend, I'm gonna go full steam and be ahead of everyone else in my class
Great video! I really appreciate that you go through the mathematical aspects of this relatively thoroughly. Thank you.
Hi, glad to hear it was helpful. Best, Ben
To clear some confusion. Weak exogeneity (+ no collinearity and linearity) is enough to show an OLS estimator is consistent. But to show OLS is unbiased we NEED the strict exogeneity assumption. Check chapter 11, page 385 of intro to econometrics by Woolridge.
Perfect introduction. I am preparing for an exam in statistics and this helps just great.
You explain in less than 8 minutes what a professor could not explain in 2 hours
Thanks for saving my degree
Amazing Ben. You're so amazing.
Hi Ben,
Great video! Just a small question: Don't we need strict exogeneity here to establish consistency? Because after we demean the data the error term became (miu - miu bar), and miu bar contains all the error terms, which means we need all the error terms to be uncorrelated to all the HPs to achieve consistency in OLS estimates right?
I agree with you
I agree also.
Can you please explain me the difference in Fixed effect estimator and first differencing estimator?
is there no constant term in fixed effects model?
It gets absorbed into the time-invariant parameter
@@jaspalchanna4025 But it was not even present in the first model, where we should have added it in theory - to make it consistent with the previous videos, or not?
why doesn't alpha i vary across time?
I love your videos so much! :)
I did not get the condition to be UNBIASED he briefly mentioned...Would it be the covariance between Xit and Uis? What does it mean?
Hi Ben, do you have any videos explaining how to do an F -test and explaining the degrees of freedom on a FE estimator?
Very nice Video!! Could you help me using Fixed-effects model on a case where we want to measure if board independence has an effect on firm performance? Do I also need to refer to time? How is the equation then? Thanks a lot! Thank you so much!
Where does the error term in the lastequationn go? Does it convert into u tilda?
So what will the Beta represent in this case? The change in the difference from the mean with respect to the change in the difference of either covariate? So is this a measure of how certain factors will disrupt an outcome away from it's time trend?
Thanks for the videos!
Hello! Did you ever figure this out? What I find online is that the interpretation is typical OLS marginal effects, but what you said has always made more sense to me
@@gahbor Hey, I have the same question. Has anyone managed to make sense of this yet? Thanks!
I might be wrong, but Fixed Effects model does require strong exogeneity assumption, not the weak, or am I wrong?
at 5:40 - strong we need for unbiasedness, but in large samples the weak is enough.
Hey great video I have watched the other ones too. I am working on a paper and as far as I´m concerned FE is used to determine unobservable effects of mothers. They say mothers differ in observable and unobservable ways. What could it mean when it says Mother fixed effects? Are they basically comparing mothers that have the same traits (as of the questionaire) and comparing the outcome of this group?
Why is there no beta0 in the model?
Thank you sir, very clear!
5:20 why does he say "pooled OLS estimates"?
Good point, fixed effects are used for panel data, not pooled ols, unless I may have missed something
why there's not a constant term?
Thank you for this
you are godlike
Nice video with clear explaination, 1 subscribe from me :)
i love you .. i mean, you're lovely !