Thank you so much for your question. But I don't know whether it is possible. When I asked ChatGPT, it gave me the following information. I do not know if that will be helpful: ............................................................................... The "eventdd" command in Stata is primarily designed to estimate dynamic treatment effects using an event study design, typically with OLS regression. However, if you're interested in running a Poisson regression (which is often used for count data) within an event study framework, you would need to adapt the approach. To implement an event study with Poisson regression, you would follow these general steps: 1. Manually create the event-time dummies: First, you would manually create the event-time dummies that correspond to the time periods before and after the event. These are the same variables that "eventdd" creates for OLS. 2. Run the Poisson regression: Once you have your event-time dummies, you can include them as independent variables in a Poisson regression using the poisson command in Stata. Here is an outline of how you might do this: stata Copy code * Create event-time dummies gen event_time_minus_2 = (time_since_event == -2) gen event_time_minus_1 = (time_since_event == -1) gen event_time_0 = (time_since_event == 0) gen event_time_plus_1 = (time_since_event == 1) gen event_time_plus_2 = (time_since_event == 2) * Run Poisson regression poisson outcome_var event_time_minus_2 event_time_minus_1 event_time_0 event_time_plus_1 event_time_plus_2 controls 3. Interpret coefficients: The coefficients from the Poisson regression on the event-time dummies will give you the relative rate of the outcome variable at each event time relative to the baseline period. This approach allows you to perform an event study with a Poisson model. However, keep in mind that this is not as straightforward as using eventdd with OLS, and interpreting the results from a Poisson regression can be more complex. ...................................................................................

You are most welcome!

You are most welcome!

You are most welcome!

Hi Prakashani, I believe you can create the same do file by watching my video. Thank you.

You are most welcome!

Hi Comploj, you are most welcome, and thank you for your valuable comments.

Thank you so much for your wonderful comment!!

You are most welcome!

my data is repeated cross-sectional data. it is good to use "xtreg" command if you have panel data

Thank you so much for your support for our channel. Did you install "eventdd" command in your stata? If not, please install it following my video 2:23. If yes, you can try again by reinstalling the command using the command line I have mentioned 2:23 in my video. Please let me know if that solves your problem. Thank you again.

@@Learn-Coding-with-Us I had a bug in the dataset, now it gives me the graph automatically, just like it should. Thanks for your help! All the best, Fabian

@@fabiangodelitz7307 Hi Fabian, Mine also didn't show the graph. What kind of bug do you have? Please give me a clue so that I can clean up my data. Thx!

You are most welcome.

I have a xtset firm year when i run "xtreg diff post treat i.year , fe" it automically drop "treat" , but it doesnt drop "post"

How did you solve this? I am having the same issue

Thank you so much for these beautiful comments!

In my video, when I run the regression, STATA dropped state1 because of collinearity.

run this one to install: ssc install matsort

Thank you so much.

Hi Yan, Thank you so much for your comment and subscribe to our channel. Can you write a little bit details? I will explain to you if I know the method.

Thank you so much for watching this video. We are glad that you found it helpful. Please like this video. Share with your friends. Subscribe to our channel! Please stay tuned!

Can you use "help egen" for confirmation of what kind of function you can use with "egen" command? Please do that. To my knowledge, "egen" can not do with the std() function. You need to use the basic variance formula: sigma^2 = E(x^2) - [E(x)]^2 to find the standard deviation. Please use "help egen" command to learn more. Thank you so much for watching our videos. Please like the video, share it with your friends, and subscribe to our channel. Stay tuned!

Hello Michelle, I am so sorry for the late reply. An event study model is an advantageous tool in estimating the treatment effects of the pre-and post-treatment periods. However, since treatment can be staggered - where the treatment group are treated at different time periods in states, I create a new variable in this video, called "timeToTreat" to address this issue, and run the regression with this variable instead of treatment dummy "post" in the regression. I hope you understand. Thank you so much for watching our videos. Please like the video, share it with your friends. Thanks again.

@@Learn-Coding-with-Us Thank you for your reply! This makes totally sense to me :) Best wishes from Germany :)

@@michellekatarine2700 You are most welcome!

I figured it out. You have to adjust the matsize to a larger value by the command: set matsize 5000.

I did not understand your question. Can you mention the minutes where you were watching?

@@Learn-Coding-with-Us I figured out the solution. I just had to readjust the matsize of my Stata. Upon doing so, I got the output

Hi Polliany, you are most welcome, and thank you for your valuable comments. I have added the subtitle for you. Please visit the video. I think it will be very helpful for you now. Please like the video, share it with your friends. Thanks again.

Hi Jin, in my video, 2:48, you can find the link to the data set. Please go through the video. Thank you so much.