treatment effect in nonlinear difference-in-differences models such as probit, logit or tobit, because the cross difference is …

, called betit, nests both logit and probit and allows for various skewed and peaked disturbance densities. Because the shape … paper considers asymptotic biases of the logit and probit models under conditions where betit should have been used. It also …

generates discrete choice outcomes. Pregibit nests logit, approximately nests probit, loglog, cloglog and gosset models, and … yields a linear probability model that is solidly founded on the discrete choice framework that underlies logit and probit. …