Hi All,

Its Siege here and I really some help

I am running a Multinomial logistic regression model (mlogit) on an unbalanced Panel data. First I want to determine the impact of the explanatory variables (7 of them) at each of the 4 distress outcomes levels- NST, ST, SST and SSTDelisted. NST is the base outcome and all explanatory variables are continuous except CEO_DUAL that is binary. I am not sure if I am interpreting the outcome of the mlogit as per the attached snapshot correctly.

For instance, judging from the P value, CEO_DUAL is not significant for outcomes ST but significant for SST and SSTDelisted outcomes, is this interpretation correct?

Then, Judging from the Coefficient, although DEBTTA is significant at ST, SST and SSTDelisted, the significance is strongest at ST (4.12), seconded by SST (3.5) and then SSTDelisted (2.2)- is this interpretation correct?

Thirdly, when can I conclude that an explanatory variable does not have an impact at an outcome level? is there any other thing I need to know in interpreting these results?

Thank you