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GMM (Generalized Method of Moments) Explained
Рет қаралды 8,868
Күн бұрынThis is a short video on the Generalized Method of Moments. Hope it helps!
@gueyenono 11 ай бұрын
I have not yet come across an explanation for GMM which is as simple to understand as this. Thank you very much.
@chinhhoang454 8 ай бұрын
Best simple explaination of GMM I've seen so far. Thank you!
@pedroaznar8495 9 күн бұрын
Thank you very much, well explained and very clear, congratulations and thank you for sharing
@aspodifjas 20 күн бұрын
This was so well explained. Thanks
@marcobaccichetto7204 Ай бұрын
Brutal video. Congratulations!
@pedrocolangelo5844 Жыл бұрын
I'm so glad that I reached this video. It was very simple to understand it!
@tadeuszfurykiewicz1987 Жыл бұрын
Very good and easy to understand material. Thanks for your work!
@kimiyamaleki8368 11 ай бұрын
This video was simply explained thank you so much. God bless you!
@jwbpark 5 ай бұрын
Video on difference meaning of convergences would be great. Covergence in probability vs convergence in distribution vs etc.....
@user-wr4yl7tx3w 3 ай бұрын
Really well explained. Thank you
@dilinijayasinghe8134 4 ай бұрын
Please do a video on convergence in probability and convergence in distribution, if possible covering chebyshev's inequality etc. It would be very helpful. Thanks!
@user-wr4yl7tx3w 3 ай бұрын
Can you explain the connection between GMM and OLS
@victorurbina8186 3 ай бұрын
If tomorrow I get a good grade would be bc of u thx so much
@peterho5778 Жыл бұрын
Awesome, simple and to the point, very easy to understand. I have two quick questions: 1. May I say GMM is a way to calculate variance? 2. It is kind of silly question, is there any reason we only use the 2nd and the 4th moment equations?
@FinAndEcon Жыл бұрын
1. It is a way to find an ESTIMATOR for variance, that is an important distinction in statistics. 2. No, in theory we could use infinite moments. However it turns out that there is a trade off between bias and variance of the estimator: If we use too many moments, our estimator variance increases. Thus, there are moment selection criteria (reference is Hansen 1987) to select the optimal number of moments.
@peterho5778 Жыл бұрын
@@FinAndEcon Wow, thank you for your prompt reply providing useful information and great explanation.
@diogo.luis90 7 ай бұрын
Hello, thank you for explanation. But I believe it should be 3*sigma^4, and not 3*sigma^2, no?
@JP-uf6cd 2 ай бұрын
Hi these a great question I am pondering, does anyone have a definitive answer?
@krgonline 12 күн бұрын
I think you are right. Kurtosis=fourth moment/second moment ^2..for normal k=3...so...
@r.barakat8758 10 ай бұрын
Great effort! Can you please make the same for OLS estimators? Many thanks in advance?
@FinAndEcon 7 ай бұрын
I will put it on my list :)
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