Super clear. Thanks! The empirical example just showcases what makes a good and poor assumption. Also like the logics you demonstrated throughout your explanation.
Thank you very much for the comprehensive lecture on PSM. My question is since the t-stat is less than 1.96, can we still say that the ATT result is significant?
Great video! Question though: with training2 we saw that there was good evidence for common support. However, we also saw that ~50% of treatment population had a pscore2 of
The impact of the ATT is 2.34 which is the difference between the treatment and the control outcome controlled by pscore and is possible significant at 10%, isn´t it?
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Thank for very much sir. This lecture is really helpful for me. It is clearly explained, really straightforward and systematic. Please keep it up.
Super clear. Thanks! The empirical example just showcases what makes a good and poor assumption. Also like the logics you demonstrated throughout your explanation.
super clear !!!! A good teacher
Excellent lecture on PSM. Students new to impact evaluation will be highly benefitted. Many thanks, dear Richard.
very well explanation, thankyou Richard.
Great!! Best PSM video
The BEST video I've ever seen !!!
Excellent explanation! I learned a lot from these lectures! Much appreciated!
This is excellent. You made the explanation very simple. Please keep it up
in the regression, u run training instead of training2, why...?
This EXCELLENT. thank you so much for this great explanation.
Excellent video lecture professor
was a perfect explanation. Thank you so much.
Excellent video. Excellent explanation of PSM and how to apply it.
excellent psm tutorial, great logic line
shouldn't you use training2 for your example 2 psmatch2?
Thank you very much for the comprehensive lecture on PSM. My question is since the t-stat is less than 1.96, can we still say that the ATT result is significant?
Thanks for the video! Where can we find the dataset?
Such a clear explanation. Thank you.
Great video! Question though: with training2 we saw that there was good evidence for common support. However, we also saw that ~50% of treatment population had a pscore2 of
Thank you so much professor, it helps me a lot!
thank you for your useful and practical explanation on PSM
Can you also make demo video for coarsened exact matching with stata code?
This was simply beautiful
Thanks for excellent video
Could you explain how can perform a regression pre-matching and post-matching between wage and training?
Thanks again
Sir, why have you not taken all variables in validating assumption 2? Why you leave the variable - female?
The impact of the ATT is 2.34 which is the difference between the treatment and the control outcome controlled by pscore
and is possible significant at 10%, isn´t it?
besides that, was nice lecture.
Excellent.Thanks so much
hello, does the balancing test result are one of the steps before running PSM? or just common support assumption?
Thanks professor, it helps me a lot!
Thnak you so much, very helpful! 🧡
Very clear. Much appreciated.
Loved this! Thank you so much.
You my fuvkin hero bro
thank you Prof.
Other people's videos show the difference is the impact (2.34), but here is the coefficient, ehmm...a bit confusing which one is the correct one
you are right, and he also needs to say whether of not it is significant.
Clear!!, thanks a lot!
I would give this 101/100.
why did you use variable training instead of training2 when you proceed with PSM approach?
yeah I agree too.
thank you
Thx. 👍
sir could you please share your PPT slides?
Thanks