Відео

It is really of great help to my graduation thesis, finally getting to a start. Thanks a lot!

Thank yo for sharing

Thank you sir for the explanation

Thank you

Dr. Todd is my favorite teacher

Hello sir, watching from India, your enthusiasm to teach new people and shape the new generation is really commendable. Thank you so much for your efforts. I found this channel from your video on World Bank open datasets. I would like to request you if you can use AI like Mister Beast and translate your upcoming videos into Hindi. I mean to say that UA-cam has that option by which you can share your video with dual audio, so you can cater to your English audience as well, and we Indians can learn from a great teacher like you. Even if it is not possible, we will watch your videos by turning on the subtitles. A big thank you. 🙏

Came here for the music, unfortunately.

Thank you for this! Just an UPDATE!! the merge command is now replaced by merge 1:1, merge m:1, merge 1:m and merge m:m

Thank you!

thank you for your explanation, i have a question. IF i know that my MC = x (given by the exercise), and mc increased 1$ for each unit how i can change the function? MC= x+1 doesn't seam right, MC= x+ x1 doesnt seam right too

you are an absolute legend, thank you so much for this!

This is very insightful. Thank you for the great exposition.

Thank you, sir

Super helpful ! Thanks a lot

Can I just say I have been stuck on this and you just helped . honestly thank you.

In my dataset, there's no data from 1960 to 1988 in the same world bank co2 dataset. How's that possible?

I have some specific questions: (1) If the Hausman test favors the RE model over the FE model, can I still proceed with using the FE model? (It is because in the management field, considering that FE is more prevalent in research papers.) Is the Hausman test an absolute criterion? (2) I am using a two-way model with i.time and i.industry. Can both FE and RE models be applied in this case, or is only FE suitable? (3) In one of your UA-cam videos, you mentioned that when time-invariant variables (e.g., gender) are included, the RE model [(cov(z_i, u_i) ≠ 0)] instead of FE model [(cov(z_i, u_i) = 0)] is more likely to be preferred. In my case, the independent variables consist of "diversity" measured by gender, age, and education level. As age is a time-variant variable, would it still be appropriate to favor the RE model? (4) The secondary panel data includes industry classifications with 2-digit and 3-digit numbers. When conducting research with industry as a factor, is there a preference for using 2-digit or 3-digit numbers? Or is it at the discretion of the researcher? (It is because there is limited specific explanation in previous studies). I have reached out to the authors, but they used different industry numbers in each case. Thank you. I am looking forward your response for my question. Sincerely, James

Thank you for this amazing video!

Thank you very much for this insightful and extremely helpful video! Doing God's work truly!

Sir, amazing ...gratitude

Thanks for this. What if the date should be monthly? For instance, I am looking for a way to convert a j=4 to 29Jan1986.

Great! Thanks a lot!

Exactly what I needed to do! Thanks a lot!

This video helped me so much! Thank you.

Thank you so much. Clutch af.

GOAT

Thank you! And I wonder if you could share the name of the background music?

Thank Todd, nice vid! How would I be able deal with quarters instead years? Thanks in advance...

Hi Sir! Thanks for sharing this video. It's really helpful for me to have good understanding in CV and EV Concept. Wish you will release the version of CV and EV explanation on the better environment quality. Will it be just the reverse?

Good job sir. Thanks 👍

Thank you

How would we go about this same issue if we had multiple variables of interest? (Hence our data would already be wide and long) Thank you for any advice!

The knowledge is perfect, the music is The Good.

Thank you for this great video, after applying your method it is appropriate to re-test for heteroskedasticity or its not appropriate?

I need bank loans data guide me plz

Thank you very much this was great very useful

Extremely helpful video!

thanks for the thorough explanation, really helpful!

Is there a way we can do this using python or excel power query?

if I have done WLS and will do the next test (eg normality or SFA), which variable should I use? thx

Strange choice of music but helpful either way

Thank you.

Thank you!

could you share the next part of this video ? it helps a lot .. thanks a lot

Great lecture. Thanks for sharing

Are you a professor? Didn't see anything in the about section

how do you do the opposite? because I want to calculate averages for each year but my data looks like what you have at the end result.

I swear this video helped me. Thank you. Nice and straightforward

Great intro video :)

I love the graphics you used during this!! The five borough presidents one is hilarious!