Thank you so much for these brilliant videos. I am now taking econometrics 2(panel data) but I didn't have the proper foundation from the first course since I was a bit too lazy at the time. Going through econometrics 1 and 2 at the same time is a bit of a mouthful but these videos are a great help. Concise and the many short videos somehow seem less daunting than sitting through a 2 hour lecture.
I've been preparing for an exam this whole week, and watching your videos is really helpful! Especially to understand why something is done this or that way which is actually the most important question! So thanks :) I wish my professor was like that...
Oh God, thank you so much! I have had so much trouble figuring out what "constant variance of error" actually mean - your explanation was CLEAR and i mean CLEAR - this is after reading several econometrics textbooks!!!
Hello Porfessor, I have a question: Cov(ui,uj)=0 doesn't mean that ui and uj are independent. At the end of the video, why did you say that they are essentially independent?
Thank you very much, dear teacher I have a question If we have more than two independent variables in this case, how can I find the significance test for the estimated parameters?
it is not necessary but as we know the regression line goes through the best possible lace minimising the disturbance terms which means homoscedasity can occur
Thank you so much for these brilliant videos. I am now taking econometrics 2(panel data) but I didn't have the proper foundation from the first course since I was a bit too lazy at the time. Going through econometrics 1 and 2 at the same time is a bit of a mouthful but these videos are a great help. Concise and the many short videos somehow seem less daunting than sitting through a 2 hour lecture.
I've been preparing for an exam this whole week, and watching your videos is really helpful! Especially to understand why something is done this or that way which is actually the most important question! So thanks :)
I wish my professor was like that...
Fantastic job! Thank you. Greetings from Germany
Oh God, thank you so much! I have had so much trouble figuring out what "constant variance of error" actually mean - your explanation was CLEAR and i mean CLEAR - this is after reading several econometrics textbooks!!!
spart230 i
Thank you so much! I was looking for the G-M assumptions so far and finally got it! really appreciate your video.
Thanks for sharing highly simplified yet very much informative videos 👌👌👌
Your efforts to share knowledge is highly appreciated. Thank you again.
Your videos are very helpful to figure out econometrics. Thanks for your great work!
Only video that made sense about this. I appreciate this alot
im here in 2019 to thank you for making this video
Thank you, this explanation of homoskedasticity was really helpful!
Hello Porfessor, I have a question: Cov(ui,uj)=0 doesn't mean that ui and uj are independent. At the end of the video, why did you say that they are essentially independent?
Hear, hear.
He may have had in mind another assumption, used later on for hypothesis testing, which requires {ui} to be jointly normally distributed.
Your videos are great! Very clear and sound. Thank´s a lot!
Thanks a lot Ben, we are going to succeed our exam !
Thank you very much, dear teacher
I have a question
If we have more than two independent variables in this case, how can I find the significance test for the estimated parameters?
th-cam.com/video/4K27HhxwPaY/w-d-xo.html
I don't get how we can make the homoskedastic assumption in practice, how could the variance of error be always the same..
it is not necessary
but as we know the regression line goes through the best possible lace minimising the disturbance terms which means homoscedasity can occur
Fantastic!!!
Ben Lambert for the Education Nobel Award!
Superb. Thank you so much! :D
helping me through my exams! thanks
Great, great expalnation. thanks!
cheers! ur video really solve my problems
Thank you!!!
Thank you !!
thank you!