I am using mlogit to estimate the relationship between a firm status (=1 active, =2 insolvent=3 exit) and deciles of lag of financial ratios such as cash ratio.
The following chart shows RRRs while I am using the deciles on the x-axis instead of i.L_cash_ratio_deciles categories which are 1 to 10.
I was wondering if the following interpretation of the relative risk ratios is correct: "For the firms in the 7th decile of cash ratio (i.e., between 1.95 and 3.08) relative to the firms in the first decile, the probability of going insolvent in the next year is about half of the probability of being active in the next year." alt="Click image for larger version
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Interpreting relative to both the base group of outcome (i.e., active firms) and the base group of the categorical variable (first decile), makes the interpretation a bit more difficult to understand.
I know that marginal probability is a better approach, but the margins command takes for ever to give me results (since I need the CIs as well). Any suggestion is much appreciated!
Thanks,
Code:
mlogit status i.L_cash_ratio_deciles, rrr
I was wondering if the following interpretation of the relative risk ratios is correct: "For the firms in the 7th decile of cash ratio (i.e., between 1.95 and 3.08) relative to the firms in the first decile, the probability of going insolvent in the next year is about half of the probability of being active in the next year."
Interpreting relative to both the base group of outcome (i.e., active firms) and the base group of the categorical variable (first decile), makes the interpretation a bit more difficult to understand.
I know that marginal probability is a better approach, but the margins command takes for ever to give me results (since I need the CIs as well). Any suggestion is much appreciated!
Thanks,
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