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.
Thank you for the great explanations! Before the video, I struggled with the question whether my treatment dummy is supposed to be 1 already in the first period even though the individuals were not treated yet. However, your explanations made this issue really clear. Thank you and greetings from Germany.
Wow! What an elaborate way of explaining the DiD concept. This is the best lecture so far. Thanks so much sir, i have learnt alot. kindly help me understand, incase there are three groups (treated, control and pure control) in an RCT experiment, how do you estimate the DiD?
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?
Thank you, it was very nice explained. I just have a question, when you regress in stata using a long way, what is the difference if you dont use xtreg for stating that the data is in panel form and using only xreg?
Awesome video, thank you! Do you have a source regarding Parallel Lines Assumption and the associated formula with covariance? I need to be able to cite this for a paper.
So precise, so clear, easily understandable. This is the best DID video. Thank you!
Wow! This is the best DiD explanation I have ever seen. You are a great teacher
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.
Thank you for the great explanations! Before the video, I struggled with the question whether my treatment dummy is supposed to be 1 already in the first period even though the individuals were not treated yet. However, your explanations made this issue really clear. Thank you and greetings from Germany.
i will watch this over and over again thank you so much
Excellent illustration on DiD, An intelligent speaker...
Wow, really good lecture on DID, thank you very much!
Amazing class. Cleared all my doubts. Could not have asked for more.
So clear, Net and well thought Explanation on DiD!! Thank You
Respect and Love
Thank you very much. I understand it now
thank you very much for your clear explanation
Wow! What an elaborate way of explaining the DiD concept. This is the best lecture so far. Thanks so much sir, i have learnt alot. kindly help me understand, incase there are three groups (treated, control and pure control) in an RCT experiment, how do you estimate the DiD?
Thank you so much sire
amazing lecture video! But the negative treatment effect looks weird, it might indicate the issue of omitted variables in the DID regression
From what I have learned DiD is not limited to panel data.
Hello sir, you have nicely explained DID. I am learning DID method and trying to apply it practically on STATA. Can you please share data set of DID?
Thank you very much. Should we try out some of the Placebo tests to validate the results ?
How you will get to know data has parallel trend
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?
Thank you for this video,
Could you plz re-estimate the data using diff command?
Thank you, it was very nice explained. I just have a question, when you regress in stata using a long way, what is the difference if you dont use xtreg for stating that the data is in panel form and using only xreg?
What's the difference between difference indifference and RCT??
Awesome video, thank you! Do you have a source regarding Parallel Lines Assumption and the associated formula with covariance? I need to be able to cite this for a paper.
Hi, I am finding difficulty to set data of did model. May I request for ur email id please?>]