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amazing lectures

Hey, i'm in the 12th grade and i'm very interested in what you were talking about but majority of it didn't make sense .. could you summarize?

loved it, had some doubts and this series turned out super useful

Thank you so much for all these incredible videos!

Thanks from Pakistan

Love it!

I foun this while scrolling on Twitter. This is exactly what I needed for my class!! Thank you. You gained a new subscriber!!

Is lecture 18 available? Cannot find it in your uploads

52:55 Bailey and Goodman-Bacon

Thank you professor!

That’s really helpful for us students. And where is the lecture 18? :)

Definitely a work of art!

Thanks god for allowing us humans this kind of contents watchable at home

Thank you!!!

could you please make a video about your paper Bartik iv in AER please

I was reading your newly published AER paper on Bartik instrument, and I tried to find one video presentation, and today I just found your channel. Thank you so much.

Is duration model same as survival model?

Thank you a ton for making these public! Could you please post lecture 18? I think it’s missing

On your slide of SUPD, by 'with logit errors, new products do not crowd the original market,' do you mean that logit erorr always incorporate some external margin of the market (substitution from the outside good) as opposed to preserving the internal share of the market? Similar to what the "pure characteristics model" tried to address..?

Highlights of the video: 1.Definitely bring up Hodges' estimator at parties 2. the Cher-vengers. But jokes aside, can the control function approach be framed as a problem of nuisance parameter?

Hi Paul. What an amazing course! Will you cover machine learning? Cheers.

Hi Professor, is lecture 18 absent?

31:35 Slide 14 has been updated in the github page which explicitly constrains P(D) s.t E[D_i/(D_1+...+D_n)]=1

Thanks for this incredible course Paul! It has been very useful, especially the Diff-Diff TWFE part. Are you planning to add the remaining videos at some point? (thx also for posting the slides!)

Excellent lecture. Thanks.

Your classes are great Paul! If you can, please put some more here on RUclips =)

We are getting close to Bartik \o/

Great lecture, prof. ! I have a question on more general forms of censoring and wanted to know if you can point me to any resource on that. Particularly, I have two examples which bother me on a daily basis. 1. I want to estimate the effect of treatment T on outcome Y on the long term profitability of a customer (say 12 or 24 months). I don't observe long term profitability for the recent cohorts, but I think they often contain valuable information (specially in crazy times like COVID). How can I include them in my estimation? 2. When estimating the effect of credit limit T on credit card spending, Y, spending is censored by the credit limit. I know about the tobit model can be useful with censoring, but how can I account for that kind of censoring where there isn't one censoring threshold, but one threshold for each individual?

Thank you for the lecture Prof! Super interesting, specially the part on visualisation! Prof., what is the relationship between binscatter and ML? It looked to me like bin-scatter is just a flexible way to estimate the CEF even if it is non linear. In that spirit, can't you use any ML function approximation to display the relationship between the treatment and the outcome (or bayesian ML if you confidence intervals)?

Thanks a lot for sharing this material. It is super helpful and so generous!!

Thank you for your sharing this lecture video. Can you upload more sessions from the lecture 14 to 26?

Can se say that X is proxy for D used in the DAGs?

Funny how your hair gets messier and messier throughout these videos.

Thank you so much for this. Really helps. I was wondering if you would upload the rest of the lectures?

thanks for sharing those materials,you are so kind

Thanks for sharing, Paul. I will try to follow the whole course. Best regards from Brazil.

It is absolutely fantastic that you shared this. It is super helpful for Ph.D students everywhere, even in top programs. The videos cleared some doubts that I have been carrying for a while as my econometric classes were not so intuitive. The audio and video quality is perfect.

hooray

Best Applied Econometrics Course Ever!

Thanks a lot, your lectures are great! I was wondering if you eventually plan on publishing the whole course?

Thank you so much for sharing this. I watched all of them and learned a lot. Will there be more videos? Many thanks!

Super cool lectures

Will there be more content coming soon =) ?

Lp norm is summing up the components to the p power and then taking the p-th root

So, what assumptions are necessary for identifying the effect of just one dose? That was such a cliffhanger hahaha Also, thank you so much for uploading these classes. I already saw three and I pretend to see all. Your explanations are great =)

Thank you so much!

I don’t know how to be thankful for this! I’ve been a fan of your papers and now this. This teaches me a lot. Appreciate so much 👍👍👍🙏🙏🙏💕💕💕👏👏👏

Thank you so much for sharing these. Have been visiting the materials you shared on Twitter and these are really great support to the slides. More power and blessings!

Thanks for sharing these, great lectures!

Dear Prof. Is it possible to get access to the recordings of the last five lectures too? I am very keen to go through the slides and other teaching material as well. Looking forward to your response. Regards Gaurav