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~
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.
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.
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 !!!
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.
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
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
This is actually very amazing, but can you add CC to the videos? Is going to be easier for me because i am from another country. Thanks for these, you are a great teacher.
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.
Thank you
Thanks, very kind of you! :)
Thank you!
Thank you sir!
Thanks :)))))
Lecture 01 - Review of regression models, Assumptions required for estimates to be BLUE, Gauss-Markov Theorem
Lecture 02 - Review of hypothesis testing, Heteroskedasticity
Lecture 03 - Heteroskedasticity
Lecture 04 - Heteroskedasticity
Lecture 05 - Heteroskedasticity
Lecture 06 - Heteroskedasticity, Autocorrelation
Lecture 07 - Autocorrelation
Lecture 08 - Autocorrelation
Lecture 09 - Autocorrelation, Answer questions on material for exam
Lecture 10 - Autocorrelation, Stochastic Regressors and Measurement Errors
Lecture 11 - Stochastic Regressors and Measurement Errors
Lecture 12 - Stochastic Regressors and Measurement Errors
Lecture 13 - Simultaneous Equations Estimation
Lecture 14 - Simultaneous Equations Estimation
Lecture 15 - Simultaneous Equations Estimation
Lecture 16 - Simultaneous Equations Estimation, Limited and Qualitative Dependent Variables
Lecture 17 - Limited and Qualitative Dependent Variables
Lecture 18 - Limited and Qualitative Dependent Variables
Lecture 19 - Review for final
References
Economics 421: Econometrics (Winter 2011)
Introduction to Econometrics. Course: Economics 421/521. Instructor: Professor Mark Thoma. This course is a continuation of the econometrics sequence.
economistsview.typepad.com/economics421/winter-2010/
thanks
Thanks
Bro woke up and decided to help millions.
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~
Eight years later, another Chinese student found this course.
Just changed my username into English yesterday😂
@Dannie Harriss 此时一年前评论的人开始在大学读计量经济学专业
又一年后一名浙江学生正在学习这门课程@dannieharriss
Completed my degree some 15 years ago. This is really bringing me back. The understanding is even getting better.
Mark Thoma is amazing, so many topics explained fluidly and with good real-life examples. To have this open access is truly a blessing. Thank you!
This course is also BLUE - Best Lectures (Undoubtably!) for Econometrics :)
Sir thank you for this course.I was struggling when i read books.But your videos clarify my all doubts.You are the best teacher in my life.
The cameraman really did a great job, thanks
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.
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 :-)
tout a fait d'accord
You're an excellent teacher. Thanks for the video.
This is an excellent lesson! I wish you were my professor.Thank you for sharing!
"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.
thank u, pro. Thoma, this series of courses is the best I have ever seen
Thank you Professor. I haven't known what econometrics is about until I find this videos. Your teaching method is excellent!! All the best to you!!!
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!
I loved econometric when I was in college, totally aced the course. I thought it was fascinating. Learned how to use Intercooled Stata.
I have given up TV series after I find out about this series.
厉害了！我的姐
厉害了！我的姐. 叫兽上课心累
Great! I will now watch these in preparation for my Econometrics in the fall. Appreciate the postings.
Great prof! This guy taught me more in an half and a half than my actual prof could over the course of a semester.
you've been consistently uploading your videos since 2008 .... you're a very good human being mark thoma ..... thanks
Mind-blowing lectures!! I wish I had watched them much earlier:-) Thank you soooo much, Dr. Thoma.
This is really going to make the difference for me this semester. Thank you so much.
amazing lecture..it made every idea so simple and clear.thank you so much
How he shows what's the problem intuitively and how this problem is reflected by math(such as 1:16:57) is incredible
awesome teaching. easy explanation with all the intuition. thank you!
Great job Prof. Thoma. Thank you very much for sharing.
Gifted lecturer, good camera work too. Thank you!
Thanks a lot from Turkey. The most useful video on RUclips for me :)
Execellent teaching Mark ! Down to earth and your questioning really makes it super for me as a novice !
been following you videos and blog...great job...thanks a lot...
Parabéns! Acesso fácil a uma disciplina complexa.
Thank you for this class, you are an amazing teacher!
Thank you so much for this course, I was stuck with it for a few week I can't understand what my teacher said :(. You're awesome!
Nicely explained in lucid manner. Keep the good work going on prof!
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 from Brazil...You are best teacher of the econometrics.
Mark, your classes are amazing! Thanks, from Brazil.
Thanks for sharing the lectures of the highest quality to the world ! BTW, You are really great at teaching !
Thank you Professor Thoma from New York City for posting your outstanding lectures!
This is so damn clear intuitively! Awesome job in explaining these essential assumptions!
prof. mark really you are simply the best
Absolutely brilliant explanations
its been a long time since i saw a blackboard been use! haha
Thanks so much for uploading your lessons! It really HELP so much! Thank you!
You're a Legend Mr Thoma, a Legend!!
You're great. RUclips is going to be my alma mater.
I am from Bangladesh, i am impressing with this topics and understanding. Thank you sir.
He is a gifted teacher. Not evbd can teach such a complex subject
You are fantastic! Thank you thousand times....
you are such a great professor!
I never understand these assumption well like I did now. thank you Mark Thoma, wish you a great day.
i stay at home and watch this video, which makes me want to attend your lectures! thank you very much for these useful materials
Thank you so much for this course
You are the best！
thank you for posting this, it is really useful :)
thanks for uploading these videos! :)
Thank you so much Mark. I am just a beginner and I can understand you clearly.
OMG, it's very instructive !!!
Thank you sir, you are a wonderful lecturer
This lecture helped me teach a class.
Mark, you are my hero!
great videos, keep it up
Excellent Mark, thanks
Good Introduction lecture in Econometrics
Thanks for posting your lectures.
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 !!!
Undoubtedly the best!
Thank you Sir Mark Thoma. Its really helpful.
Excellent ! thank you very much!
great job!
Very good lecture, 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?
Gas! This is priceless information. For all you autodidacts out there eat your heart out!
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.
Thank you very much for the course, greetings from Bolivia!
good and lucid approach......
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
Dear Mark, you're absolutely amazing, but if you could add each lecture with its relative topics~ so it would be better ! I think ~
I am 6 years too late and go to a different university, but I promise to always come to your class.
Thank you so much! prof.
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
thanks for the lecture tom
thank you so much for uploading these videos,but where i can find the slides of the topic?
Very helpful. Thank you
Thank you for sharing Sir..
Excellent!
good teacher,thank you
great explanation of autocorrelation
very helpful lecture,could u plz create one on mean of parameter estimaters?
@zx92027xz The 2010 version is HD, but I didn't think that class went as well...
Thank you very much!!
Отличная лекция
Allah continue to bless you prof . Thank you 💕
Does anyone know if there is a video series for the introductory/less advanced econometrics course? I really need it.
Nice! Thank you so much!
great class but can you please upload one introducing econometrics to the masses.
thanks
This is actually very amazing, but can you add CC to the videos? Is going to be easier for me because i am from another country. Thanks for these, you are a great teacher.
even though not correct all the time, there's autocreated version of CC button.
Thank you very much.
Thank you Professor 🤩🤩🤩
Excellent! In one hour of watching Mark Thoma I understood more than in one semester of Econometrics at the Uni.