# Zero inflated negative binomial regression interpretation of categorical variable stata

I am using a zero-inflated negative binomial regression model for my data analysis, where the dependent variable is the number of retweets. I have three categorical variables called emotionally_charged (0 if not 1 if yes), hashtag_used (0 if not 1 if yes), and media_used (0 if not 1 if yes). The base reference for all three categorical variables is 1. I need to understand how to interpret the effect of all three on the number of retweets (a count variable) according to the signs of coefficients. Following are my partial results:

VARIABLE | Coefficient | p-value

1.emotionally_charged | -0.5825642 | 0.000

1.hashtag_used | -0.6320729 | 0.000

1.media_used | 0.1608499 | 0.206

In both Poisson and negative binomial regression, if you exponentiate the raw coefficients, you get an incidence rate ratio. That is not being emotionally charged (if I read your post correctly, even though it seems to contradict the output) is associated with an IRR of $$e^{-0.5825642} = 0.558$$. You need to note that this is the IRR conditional on not being a structural zero.