Excellent video, maybe a late question, but shouldnt you also check the second order conditions to verify that beta hat is a minimum and not a maximum?

I FINISHED THE PLAYLIST!

You are so good at it. I wished I watched your tutorials earlier

thanks alot, Mr.Ben Lambert you are my hero

this video really safe my life, thanks alot, thanks alot, thanks alot

I let you sleep with my wife if you want to Ben!

I want you to impregnate me

This arouses me

Amazing explanation, easy to follow. Thanks !!!

I don't know how to thank you.Kindly upload a video on Tobit,Heckman

the video is 11 years old and still the best resource i found to learn this topic, thank you so much!

Are there robust estimators for the skewness, similar to median for the mean?

Greatest Video!!!!!!!!!!!!!

救了大命了（尝试在一周内拯救我的final

great video

explained in convergence, WLLN and delta method 5 minutes (even with 2 examples) better than some 2 hour lectures

This video was so helpful. Thank you

what about climate change and health? what kind of relationships could be studied in this field?

Was applauded years ago but simple and straight forward thanks have been helped

great explanation, thanks

For the first stage - Can we use a non parametric model? - or should we only use OLS?

Shouldn't it be the other way round? When serial correlation nearing 0, FE. when high SC, then FD?

thank you!

This is a very good explanation of rejection sampling! Very intuitive and the span of time taken to embark this topic is concise and appropiate. Excellent video!

11 years ago and bro is still helpful for my statistics class when I missed this particular part of the lecture

Thank you!

super sir, you are great

Watched from The only University abroad in Zambia

Hi Ben, am I correct in saying there is no experiment where selection bias can be completely eliminated?

I don't understand why we took infinite #faces and why it is normal distribution

not very well explained..

how could you generate fake data from the likelihood ? you can only generate from a distribution

I think ill spend some of my income on a slice of pizza

Ben has single handedly saved millions of students over the years from econometrics. I lost interest in the subject until I came across this course. Dude has touched millions of lives without even realizing. He should definitely be anointed in some way for his contributions to the world! Thank you Ben for the course you put out 11 years ago, now.

thank you so much for this, it saved me from my econometrics class

you make this things look easy man

Simply, thank you.

@SpartacanUsuals - Why wouldn't Gibbs sampling work in this scenario? Since we are sampling from a multidimensional probability space, why not to just use the Gibbs sampling? How is HMC different from Gibbs sampling? I am having a tough time understanding this, would be great if you could answer this. By the way, great explanation. It did help me understand and clarify the basic concepts of HMC.

"Use z1 as an instrument for z1" What does this mean?

I am actually a bit confused about the explanation, specifically about the relationship to statistical mechanics. With the exception of the initialization of the momentum, there are no random fluctuations in the dynamics (as opposed to Ito processes). The Boltzman distribution result holds specifically for Ito processes (can be derived from the Fokker-Planck equation), but not for such deterministic dynamics. I would be happy about a clarification.

Plz translate intourdu

FINALLY something that helps intuition for those of us without an advanced mathematical background

Shouldn't we be using LIE at some point near the end?

Great videos!

Lydia Stream

Kane Park

Jon Plaza

This really seems a lot more like RDD than IV.

Nice explanation! Better than my college lecturer!🎉😂

where do we see vi is (xi-\bar(xi))/S_xx ?