Відео

THANKS FOR YOUR GOOD WORK

please we need lecture 1 to13

was a perfect explanation. Thank you so much.

super clear !!!! A good teacher

A wonderful lecture. Thank you for this.

Thnak you so much, very helpful! 🧡

I am watching in 2024, and everytime you mentioned that this is just another method in a series of other methods you had already tackled in this tutorial, I pausee the video to be sure that youtube's algorithm was doing what I hoped it should do(bring up the full course catalog on my right pannel-it did!). Thanks a lot for the videos, they were easy to follow through and your use of examples to clarify concepts even made the whole experience more intuitive. Never have to cram😂

Good Day Sir, this is very insightful, please do you have a video on how to implement this on either Stata or R??

Thank you for the great quality video. I have a question: Considering your equation Income = ß0 + ß1*Dodoma + ß2*Year + ß3*Year*Dodoma + E. Which part do I have to test via F-Test to valid that the parallel trend assumption holds? Thank you again and very best regards.

really clear expression!!! Thank you so much:)

Brilliant class. This is one rare video, which made Panel Data Model understanding so clear. As a Econometrics student, i am tempted to view other previous videos to understand the subject better. Thanks

Hello Dr. Richard I have Questions, what's the best way to make analysis for panel Data is that R or Stata ?

Super clear. Thanks! The empirical example just showcases what makes a good and poor assumption. Also like the logics you demonstrated throughout your explanation.

I’m working on a project which we have proven to be Natural Experiment. Can you suggest some paper so we can strengthen the methodology?

May I request you to cover endogenous switching regression model.

Sir, why have you not taken all variables in validating assumption 2? Why you leave the variable - female?

Nice. Clear. Simple. But, dude, do you seriously think 'criteria' is in the singular?!? 😂

A great video with very clear explanation.

Thanks❤

Hi, your work is very helpful thank you.may you please make a video on quantile regression

Such a clear explanation. Thank you.

Where I can find that dataset wages_random? I want to replicate that code.

Sir, God bless you.

Thanks prof. Gallenstein for a very clear presentation

very well explanation, thankyou Richard.

Wow, really good lecture on DID, thank you very much!

Respect and Love

thank you very much for this beautiful video on randomization. you are really educational.

From what I have learned DiD is not limited to panel data.

I hope this is the the right video for calculating minimum detectable effect size if I see an observational study published in a paper and I am reviewing it for discussing in journal club? My main concern is not to jump to an erroneous conclusion of equivalence based on an underpowered observational study which did not even mention any power analysis. This misunderstanding has a potential for negatively impacting patient care. Is there an article and is there a calculator?

Is the B1 the probability or the change in probability due to a one unit change in X.

How to get the data sets?

What if the reason that the treatment group was given the treatment (i.e, not random assignment) is correlated with the treatment group's trend? In other words, what if assignment of treatment was done non-randomly precisely because a certain group in the population was identified to have a different trend than other groups? Is there any economic/statistical check for that?

Thanks a lot for your lectures! They are very clear and easy to understand! It helped me a lot.

Thank you for the great lecture Prof! It couldn't have come at a better time

Wonderful. This much clearer picture of RDD, I haven't received from anyone else. Keep posting. Love from NEPAL. 😊

Thank you very much. Should we try out some of the Placebo tests to validate the results ?

How can we get the data set in this example of Stata Professor ?

Thank you so much, very helpful! Regarding the subgroup analysis: if the interacton coefficient is not significant, would that mean that the subgroup are different in the sample at hand, but that there is no statistical significance for it? Thanks in advance for the clarification :)

So precise, so clear, easily understandable. This is the best DID video. Thank you!

Excellent explanation, thank you!

very clear thank you very much. Helped a great deal

Best explanation series in the UA-cam I have watched so far. Thanks Professor for each video on this serie. Worth to note, the videos are really underrated.

Thank you professor for your nice and detailed presentations! If we are using Probit model and there will be a hetroskedasticity , can we report the marginal effect coefficients or totally leave the model use only the results of LPM? Thank you!

Very concise, thank you

Professor, thank you so much for a very clear explanation of DID. I was having a hard time to understand this method but through your video, it helps me to understand it clearly.

Great thanks

Thank you so much professor, it helps me a lot!

This is great !

Nice video. First part of video: one column. Use runiformint(0,1) Use it again in part two, within vaccess.