Analysis of panel data in R using Generalized Estimating Equations

In this video, I demonstrate panel regression with generalized estimating equations using the 'geepack' and 'MESS' packages. To download a copy of the text file used in the video, go here (drive.google.c.... As noted in the video, to access the data used in the demo you will need to open up the 'plm' package first. If you don't have 'plm' installed, you will need to do so: install.packages("plm"). Finally, in the video I demonstrate GEE assuming a Poisson distribution. Technically, Poisson regression models are designed to model predictors of lower-frequency counts. The 'value' variable I create - even after rounding the values to 0 - still contains large-valued integers, which ordinarily would not be applied in the context of Poisson regression. This was done for demonstration purposes only.

[@mfgranja]

Thanks much for taking the time for doing this!