Hello everyone!



I am currently performing some negative binomial regressions (xtnreg) with my panel data.
I tried to measure the R squared but it seems that it is not really common when using a negative binomial regression. From what I saw, I should measure the Maximum Likelihood estimator.
Here is the source: http://cameron.econ.ucdavis.edu/rese...96preprint.pdf

My question is why is it the case? Why can't we use R^2? And what would be a measurement that could replace it?


Thank you
-Jack