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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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 for very much sir. This lecture is really helpful for me. It is clearly explained, really straightforward and systematic. Please keep it up.
very well explanation, thankyou Richard.
Excellent lecture on PSM. Students new to impact evaluation will be highly benefitted. Many thanks, dear Richard.
Thnak you so much, very helpful! 🧡
The BEST video I've ever seen !!!
Excellent explanation! I learned a lot from these lectures! Much appreciated!
This EXCELLENT. thank you so much for this great explanation.
shouldn't you use training2 for your example 2 psmatch2?
Great!! Best PSM video
This is excellent. You made the explanation very simple. Please keep it up
in the regression, u run training instead of training2, why...?
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?
Sir, why have you not taken all variables in validating assumption 2? Why you leave the variable - female?
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
Such a clear explanation. Thank you.
Thank you so much professor, it helps me a lot!
Excellent video. Excellent explanation of PSM and how to apply it.
Thanks for the video! Where can we find the dataset?
hello, does the balancing test result are one of the steps before running PSM? or just common support assumption?
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
Loved this! Thank you so much.
thank you for your useful and practical explanation on PSM
Thanks professor, it helps me a lot!
excellent psm tutorial, great logic line
Excellent video lecture professor
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.
Very clear. Much appreciated.
Can you also make demo video for coarsened exact matching with stata code?
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.
Excellent.Thanks so much
You my fuvkin hero bro
I would give this 101/100.
thank you Prof.
Clear!!, thanks a lot!
why did you use variable training instead of training2 when you proceed with PSM approach?
yeah I agree too.
thank you
sir could you please share your PPT slides?
Thx. 👍
Thanks