00:00-14:40 - General presentation for the students. 14:40-31:10 - Basics on Regression models (estimation OLS, residuals, best fit model). 31:10-46:10 - BLUE definition and proofs. 46:10-78:00 Gauss Markov theorem- Model assumptions to ensure a BLUE estimator.
I'm a Chinese student. It's really great to find these courses on youtube. Though it will take time and effort for me to overcome the language barrier, I think it's worth my effort learning to use circumvention software to bypass Internet censorship. Thank you professor~
Mr Thoma, i would like to command you on your classes. I am a french speaking guy, and yet could understand your whole presentation. Sometimes teachers make the mistake of "mathematising" everything, maybe to show off. You just get straight to the point, for our benefit i might add. Thanks again.
Spot on! I was taking a class in econometics that was purely mathematical and it gave me zero intuition of what was going on. I practically stopped attending the lectures as understood nothing and going there felt extremely frustrating. But now that I am getting into trouble Mark Thoma is my saviour :-)
"OLS thinks that every one of these observations are equally informative"... that one sentence brought everything together for me. All the assumptions make sense in light of this, thank you.
Valeu Mark Thoma , me ajudou muito aqui. A linguagem da matéria é universal. Thanks Mark, helped me a lot here. The language of the matter is universal.
It makes much more sense than the lecture I had in my college. No one really explained (even the textbook) why the assumptions for OLS has to be that way specifically. I also really liked that he mentioned about people leaving early or getting in late lol. Thanks!
Well I admire all students who chose to learn econimetrics surely involving me, honestly , in my class, only poorly 8 or 9 students chose this class...I will definitely work on this and thank you so much on sharing this on youtube which offers me an opportunity learning other experts' ideas and ways on this area of knowledge.
THANKS A LOT FOR ALL THIS JOB MARK!! I STUDY AT UTPL (ECUADOR SUDAMERICA) AND YOUR CLASSES ARE VERY USEFULL FOR ME. I WOULD LIKE TO HAVE A TEACHER LIKE YOU !!!
The 43:00 minute mark part is great, yes we probably wont use all the heteroskedasticity, autocorrelation, ARCH, cointegration, etc. stuff but it enhances our analytical thinking
for introductory econometrics, search google for "introduction to econometrics lse". i found this course for beginner level quite useful, and it is done by C.Dougherty from LSE, he is also an author of the textbook for this class as well called "introduction to econometrics"
Its amazing how you can take the time to do this for us. Remember that you are helping many many people all over the world. Wish I could interact with a person like you and talk some econ! Thank you!
Dr. Thoma, thank you very much for the great HD quality lectures, been very useful to me, ive been watchin some of the lectures, not all yet, do u know in which lecture can I find lesson about the VAR VECM? thanks
Awesome introductory lecture. The last example where the sum of the differences of Xs squared equaled zero, wouldn't the variance be undefined as opposed to infinite?
Hello Prof. Thoma, thank you for your all hard work, i really enjoyed your first 2 lectures. I wonder if you have any video related to univariate time series modelling. Thanks in advance.
