. Important variables affecting the performance efficiency of workers subjected were estimated via logit, probit, and tobit …

way. Our results can be applied to the most common limited dependent variable models such as probit, logit and tobit … leads to a unique decomposition and accounts for the nonlinearity of the underlying econometric model in a rather intuitive …

In any nonlinear “difference-in-differences” model with strictly monotonic transformation function, the treatment …

treatment effect in nonlinear “difference-in-differences” models such as probit, logit or tobit, because the cross difference is … not equal to the treatment effect, which is the parameter of interest. In a nonlinear “difference-in-differences” model … difference of the conditional expectation of the potential outcome without treatment. Unlike in the linear model, the latter …

.g., Probit, Tobit and Normal Switching Regimes models, which are normality-based) estimators that neglect particular types of …

of the lots. We correct the bias due to the existence of unsold lots using the sample selection model of Heckman …