Hi all,

I'm looking at the effect of fire occurrence on the number of visits to National Forests and National Parks. I've divided up these parks into spatial units, with multiple units from each park. This gave me panel date with 10 years and 350 IDs, and I'm using an FE Poisson model to conduct my analysis.

I'm not sure how to interpret some of the results, particularly for places where there is an interaction between two continuous variables. For more context, both of the interacted continuous variables range from 0 to 1. I know normally people use margins and try to assess the marginal effect of a change in one of the interacted variables at different baseline values of the other, but I'm also reading that people don't do that for FE Poisson models. Could someone help me figure out how I should interpret the coefficient estimate for this interaction? To add to this, I think I'm generally confused about interpreting Poisson results. I get that the interpretation for a coefficient estimate, say beta, is to say that one unit change in that variable results in a change in the log of the Y variable by beta amount, but I'm getting tangled up in the conversation about incidence rate ratios and am not sure how to make this sentence more interpretable.

Thank you so much!