Method of Moments and Generalised Method of Moments Estimation - part 1
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- čas přidán 10. 09. 2024
- 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/
Learnt more from this video than from 4 hours lecture.
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.
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/
Why have you left the 1/N out of i) and ii) ?
Error on his part. Watch the following video
Concise and precise conceptual explanation. Great video.
wow very clear. Thank You
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
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.
so easy to understand^^ thanks for making a great video!!
Do you have any suggestion for running gmm in stata? I really have problem now.
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....
Thanks...
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.
Ily
i thought it was 1/n-1
1/n-1 gives the unbiased estimator. Not necessarily the estimator the method of moments will provide.
The N in the sample mean formula should be a small n cause we are dealing with the sample
「動画の音が良くない」、
rubbish
You are bad at drawing straight line😂