Random effects panel regression and mixed effects regression in Stata: A comparison of results
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- เผยแพร่เมื่อ 18 ก.ย. 2024
- 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.c... ) and a copy of the text file referenced in the video here ( drive.google.c... ).
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?
what if the overall p value of chibar(01) is not significant for mixed simple linear regression
Thanks, Mike.
Thank you so much for your video
excuse me, in ml random effect model, how to find r-square value??
Thank you so much
when to use mixed effects model?
when reviewer asks to do so
why only id ? where is year ?
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.