My logistic model has a dependent variable responses (1) if an investment’s cost/benefit ratio≥1 and (0) if c/b ratio<1.

Independents are region(0-1), type of investment (0-1), investment sector(3 categories, one is base)

When constant term included, the model cannot be estimated because of endless iterations. When constant excluded, all parameters are significant at %5 and %10, prob>chi2=0.0082 wald(4)=13.74.

It’s clear that constant term is not good for my model. As far as i understand, cost/benefit ratio may not exist under the assumption all independents equal to zero. But how i could interpret the coefficients and Which statistics or goodness of fit measure should i use for evaluating the significance of model the model without constant term? And what happens to logit model without constant?

Thanks for now.