Method of Moments and Generalised Method of Moments Estimation - part 1
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- Опубліковано 7 сер 2014
- Provides an introduction to Method of Moments (MM) and Generalised Method of Moments (GMM) estimators.
If you are interested in seeing more of the material, arranged into a playlist, please visit: • Graduate econometrics
For more information on econometrics and Bayesian statistics, see: ben-lambert.com/
Thaks bro. well done and saved my life. it needs a day to read from books, but is just half an hour and less in here. keep it up.
Learnt more from this video than from 4 hours lecture.
I do appreciate for equiping me with basic skills to handle MME
Wait.. isn’t this Ben Lambert?
Seems like Ox educ was organized by Ben Lambert! (puzzled me to)
ben-lambert.com/about/
so easy to understand^^ thanks for making a great video!!
Concise and precise conceptual explanation. Great video.
wow very clear. Thank You
Why have you left the 1/N out of i) and ii) ?
Error on his part. Watch the following video
Hey there, I´d like to use GMM in my thesis, is there any comprehensible paper out there which I could read and cite? Or which paper is the most comprehensible on the topic?
Do you have any suggestion for running gmm in stata? I really have problem now.
why do they call it moments? seems peculiar... why not just call it what it is (mean, variance, skewness, kurtosis...)
The term moments comes from calculus. The statistical moments mentioned above are just an application of a larger concept that is used in a variety of mathematical fields. In the context of calculus, the term moments actually makes more sense.
thank you so much
Thanks...
My book says that that the second moment of the normal distribution is my^2 + sigma^2 ????
Why is this concept so hard to explain, seems easy but it doesn't make any sense.
Sir,
Does g1 and g2 also have 1/N?
gopi kumar In the next video (continuation of this one) he actually rewrites the cost functions and he writes it with 1/N
I still don't get it....
Ily
Why publish this tutorial with errors for g1 and g2? Why not just fix it and try again??
Not everybody is as anal about getting everything in a video perfect. Clearly, everyone knows he made the mistake so it isn't somehow going to harm anyone's understanding of the topic. The concepts are what he's attempting to teach. The algebra isn't as important.
The N in the sample mean formula should be a small n cause we are dealing with the sample
i thought it was 1/n-1
1/n-1 gives the unbiased estimator. Not necessarily the estimator the method of moments will provide.
「動画の音が良くない」、
rubbish
You are bad at drawing straight line😂