Random effects panel regression and mixed effects regression in Stata: A comparison of results

In this video, I analyze panel data using the 'xtreg' and 'mixed' commands using Stata. Both models assume randomly varying intercepts. I demonstrate the essential equivalence of results from these two methods. You can download a copy of the Stata data file here ( drive.google.com/file/d/1cyBK... ) and a copy of the text file referenced in the video here ( drive.google.com/file/d/1Lynz... ).

[@wasafisafi612]

Thank you so much for your video

[@jinlinliu1200]

Thanks, Mike.

[@wasafisafi612]

Thank you so much

[@user-ni4tv6xq7f]

Thank you for the video. I have a question regarding control variables. How to include them in the code? Do I treat them like other predictors in the code by typing them next to them?

[@Mohakule3]

what if the overall p value of chibar(01) is not significant for mixed simple linear regression

[@hamzahh9932]

excuse me, in ml random effect model, how to find r-square value??

[@anuradhasaikia9305]

when to use mixed effects model?

[@jingnanli8009]

when reviewer asks to do so

[@abujad4226]

why only id ? where is year ?

[@mikecrowson2462]

Hi Abu, for this model I was not modeling the outcome as a function of time per se. Oftentimes folks do want to include time as a predictor to model growth (or decay or some time of non-linear change) over time. I kept things rather simple in this demo. But you certainly can add in predictors to model change as a function of time. Cheers.