Dear Ben Lambert, It is now exam season at the University of Birmingham. As a second year who hates economics, you are currently my rock and my hope to pass my Econometrics exam. You are a hero, a true legend, a life saviour. If I pass this year, I will dedicate my dissertation to you and if you're ever in Birmingham, let me buy you food. WRITTEN WITH ALL MY LOVE and several cans of spar budget energy drink
Hi Eva, thanks for your message, and (overly) kind words. Glad to hear that the videos have been useful. Good luck with the spar energy drinks (although perhaps upgrade them to LIDL/Tesco), and your exams and dissertation! Best, Ben
you make someone who hates econometric now think that it is actually fun, wish there are more great teaching videos on TH-cam like yours. thanks a lot!!
just making a pause after some 30 videos... you have a wondurful vision of econometrics, everything is so consistent (...). It is just sometimes a bit complicated for a french guy to understand your Manchester accent...but after some vids it sounds like music of econometrics 😉 thank you so much!
If a function is non linear in parameters like y = alpha + beta squared times x + u, couldnt i simply substitute beta squared with another variable say, gamma, and we would get y = alpha + gamma x + u? Wouldn't it be linear then?
Following the outline of Gauss-Markov theorem proof th-cam.com/video/yHXjZTUjzgE/w-d-xo.html I noticed that one suggests an alternative linear estimator. This alternative linear estimator is then shown to have larger variance of the LS estimator. This suggested alternative estimator is not only an estimator of a model which is linear in parameters (parameters==LS estimators), but also linear in the dependent variable observations or can be made to be linear in these observations. In the hope I am not misleading any reader, each of the linearity constraints seem to imply the other .
Following the outline of Gauss-Markov theorem proof th-cam.com/video/yHXjZTUjzgE/w-d-xo.html I noticed that one suggests an alternative linear estimator. This alternative linear estimator is then shown to have larger variance of the LS estimator. This suggested alternative estimator is not only an estimator of a model which is linear in parameters (parameters==LS estimators), but also Linear in the dependent variable. So linearity of BLUE estimators has both constraints: A. The model is linear in the estimators. B. The estimators are linear in the dependent variable observations.
Dear Ben Lambert,
It is now exam season at the University of Birmingham. As a second year who hates economics, you are currently my rock and my hope to pass my Econometrics exam. You are a hero, a true legend, a life saviour. If I pass this year, I will dedicate my dissertation to you and if you're ever in Birmingham, let me buy you food.
WRITTEN WITH ALL MY LOVE
and several cans of spar budget energy drink
Hi Eva, thanks for your message, and (overly) kind words. Glad to hear that the videos have been useful. Good luck with the spar energy drinks (although perhaps upgrade them to LIDL/Tesco), and your exams and dissertation! Best, Ben
you make someone who hates econometric now think that it is actually fun, wish there are more great teaching videos on TH-cam like yours. thanks a lot!!
I like the lehnea parameters part
just making a pause after some 30 videos... you have a wondurful vision of econometrics, everything is so consistent (...). It is just sometimes a bit complicated for a french guy to understand your Manchester accent...but after some vids it sounds like music of econometrics 😉 thank you so much!
Very helpful explanation. Distracting pron of linear
This course is great and a super useful refresher!
Thank You so much Ben for your tutorials . These tutorials have motivated me to explore the ideas of econometrics deeply.
Taleb piqued my curiosity in this topic; coming here for a more meaty explanation.
Plz do videos on estimability and identifiability
If a function is non linear in parameters like y = alpha + beta squared times x + u, couldnt i simply substitute beta squared with another variable say, gamma, and we would get y = alpha + gamma x + u? Wouldn't it be linear then?
2:44 I thought that if there is a multiple that the equation is still linear?
+sltr1 It think you are right since a product of 2 constants is just another constant. Thus, the parameter is still linear
@@NhatLinhNguyen82 how is variable different then parameters? It said variables can be non-linear
how did you do it can you share with me , thank you
so touching for an excellent video
Thank you. Very useful for me to prepare my quant interview. Reading takes more time
Why would you make fun of our econometrics lord and savior
Why is random sampling important? (asking more for panel data)
What is the point of these assumptions, what is their significance?
Following the outline of Gauss-Markov theorem proof
th-cam.com/video/yHXjZTUjzgE/w-d-xo.html
I noticed that one suggests an alternative linear estimator.
This alternative linear estimator is then shown to have larger variance of the LS estimator.
This suggested alternative estimator is not only an estimator of a model which is linear in parameters (parameters==LS estimators), but also linear in the dependent variable observations or can be made to be linear in these observations.
In the hope I am not misleading any reader, each of the linearity constraints seem to imply the other .
Following the outline of Gauss-Markov theorem proof
th-cam.com/video/yHXjZTUjzgE/w-d-xo.html
I noticed that one suggests an alternative linear estimator.
This alternative linear estimator is then shown to have larger variance of the LS estimator.
This suggested alternative estimator is not only an estimator of a model which is linear in parameters (parameters==LS estimators), but also Linear in the dependent variable.
So linearity of BLUE estimators has both constraints:
A. The model is linear in the estimators.
B. The estimators are linear in the dependent variable observations.
When the word "hero" comes to mind, the first person I remember is Ben Lambert
Just found ur channel which i find pretty useful :D Thnx a lot Ben ^^
2019 January studying for my CAT tommorow 31st.
Econometrics be eating my ass.. respect man
Lin-e-ar
Thank you so much for this course..
Does the second assumption mean Cov(xi,ui)=0?
No that is the 6th assumption
Привет из России) its best explanation i ve found
excellent, except maybe the way you say linear ;)
do not see why we choose to pay so much to go to university while learning everything from Ben Lambert
laneeerrrr??????
cool !!!
Kandungan anda sangat menyentuh
Lin-eer? Are you kidding? Great vid otherwise
axuming and lin-eer. great vid though
Beeeeeta
so touching for an excellent video
so touching for an excellent video