Based on my training, I was always believed that logit models were relatively robust. Specifically, the rule-of-thumb had been that having more than 50 observations was probably ok for simple MLE models like logit. Some sticklers prefer a floor of 100 observations. However, some recent research suggests that the floor may be need to be higher -- much higher.
Follow the link for evidence that we may need to be skeptical of any logit model with less than 750 observations.
http://www.surefoss.org/visualisation/evolution-of-a-logistic-regression/
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