Dear statalisters,
I try to fit a fractional logit model with
-glm depvar indepvars, family(binomial) link(logit) scale(x2)-, which uses Quasi-ML for the estimation. My dependent variable is the share of high-qualified employees within a firm and my dependent variables include both industry and time dummies, firm size, and a dummy variable indicating whether the firm is a start-up or an incumbent.
My problem now is that the command does not converge. What can I do? Would it help to try alternative optimization routines? Or change the distributional assumption in -family()-?
Any comment is highly appreciated,
Jochen
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