For the second example (#4), this is much more tricky, as the true functional form of the regression is nonlinear. Essentially here, in order to solve for the bias, we need to transform a linear equation into a nonlinear one, so comparing omitted variables isn't going to be strictly identical to how we would do it for the linear case. In this case, I view this as asking "what is the missing specification?"