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I'm a physician but I found it extremely useful. Keep it up.

Hi Mike, Thanks for the video. Is there any video available for multilevel mixed effect linear regression model in STATA please :)

Habiluddin governor.s/o.abdulkarim.2no.balarchar.bngn

great video, thank you!

Greetings from Argentina! Nice content. At my university (a public one (in Argentina the public ones are good, at least for our parameter)) idk if in the economics' degree we're going to learn about stata usage(we learned in inferencial statistics about excel usage to do lineal simple-multiple regressions), but I can stay in peace due to your videos! Thanks

Thanks a lot!

Wonderful session through this tutorial. Thank you,

Where is part 2?

Hello Prof do you have the same video using Arellano-Bond

Mike ~ this is so helpful! For so many Stata videos, this definitely stands out as the most helpful!

Thank you!!!

Thank you so much. Great Video !!!

Thanks , for your explication

Great video, thanks! Also realy useful that you can just tell Rstudio to create factor variables

keep up the great work!

One minute was enough to give a like.

I followed the same method but i am facing a problem with data merging. What should i do

thankyou!!!!!!!!!!!!!!!!!!!!!!!!!!!

Thank you!

Absolutely invaluable explanation, thank you! Also loved the Venn diagram, it's locked in my brain now :)

Thank you so much Mr. Mike, God bless you

Dear Mike, I O U Best Wishes, Manal (Gorny says thanks Mike)

can we caculate marginal effect of a binary independent variable on binary dependent variable? for example: marginal effect of gender on labor force participation ? THanks!!

Amazing video! Thanks for creating such valuable content

Very clear explanation thank you! Much better than my professor at the uni!

You Saved my assignment and myself. THANK YOU SO MUCH! I had issues with the date variable being in monthly format as "1998jan01" and that was confusing stata. mofd() helped me so much. God bless u

You can use this to gather panel data - it's even better than the title promises haha. Thank you for making this video!

Thank you sir

Thanks for this tutorial. Does it matter that the R-squared is .(nothing)?

this is genius

@Mike Jonas___ Can you pelase share Federal reserve data with this video? If possible, Please upload a new video showing how to down load Federal reserve data into STATA through API Key.... Just a request.. Thanks for the video.

This is very insightful. I have a few questions: (1) can we include lags in hausman-taylor estimation, (2) when one includes interaction, do you have any idea to do margin plots?

first time ecn 102 student appreciate this!

Very insightful. I wonder how the explanation will look like when we interact two dummies for e.g. gender and race etc,

I want to draw time graphs with panel data. For example I have a patient who had a procedure on Jan12024 and then on Jan 2, his pain score was 2, on Jan 3, his pain score was 6 and jan 10, his pain score was 12 . Let’s assume I have 100 patients, 50 who had the procedure and 50 did not. And so I want to draw time wise graphs for cumulative pain scores on days 1,2,3…….for both patient types in different colors. Is it possible to know this from you. I know I will have to calculate the days on my own which I can do

Hi, what about using the anova() feature in R for comparing the restricted and unrestricted models? For example anova(modela, modelb)?

Big thanks to Dr. Shah. I'm also from Pakistan 🇵🇰. Feeling proud ♥

I appreciate your good work. Thanks

Extremely helpful and concise. I've been struggling with various other videos and appreciate the simple description of how to filter and apply basic functions in base R. Please keep these coming!

Do you need time/year dummies when using the HT estimator?

good video, but i have one problem. When i click the data, it doesnt show up in colums like it does for you, it just lists up data, and it looks messy. What do i need to do?

Welcome back dear Mike !

Dr. Mike! Great to see you again! Love your videos! 👍👏 (Retired Math/Stats Prof here.)

First comment! ... and thank you for making this video!

Thanks! My understanding is that if there are more than two time points, then, DID has to be done separately for each pair of pre-test and a subsequent post-test, right?

can you attach the sample workbook you use please

You are the first one to explain clearly the last last step, why expectation operator moves inside the summation of (Xi-Xbar)*ui. Thank you so much.

This is the best explanation I have seen of two challenging abstract concepts: ac and pac. Excellent.

Hi sir good morning