various regimes. Using German establishment-level panel data, we estimate a two-regime model of replacement and expansion …

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 …

-diary data – Tobit, the Cragg (1971) two-part model, and OLS – under a number of alternative assumptions about the data … Tobit would seem to be the natural approach. However, it is important to recognize that the zeros in time-use data arise … much longer. Thus it is not clear that Tobit is appropriate. In this study, I examine the bias associated with alternative …

This paper analyses the impact of government grants on labour demand using plant level data for manufacturing industry … grants appears to be recouped in additional wage streams under reasonable assumptions. …

yields a linear probability model that is solidly founded on the discrete choice framework that underlies logit and probit. … generates discrete choice outcomes. Pregibit nests logit, approximately nests probit, loglog, cloglog and gosset models, and …The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin …

GSOEP and present microeconometric rare events logit, logit and probit results. …

are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates … from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more …

, 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 …This paper proposes a dichotomous choice model that is based on a transformed beta (or "z") distribution. This model …