Probit and logit models typically require a normalization on the error variance for model identification. This paper … shows that in the context of sample mean probability decompositions, error variance normalizations preclude estimation of …

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. …The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin …

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. …The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin …

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 …

) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as …

-Oaxaca decomposition analysis for wage differentials. The decomposition method is first developed for a single probit model and later …

SOEP data 1984-2011, we use probit models for estimating the likelihood of entering overeducation and dynamic mixed … multinomial logit models with random effects addressing state dependence and unobserved heterogeneity. As further robustness … Probitmodellen die Wahrscheinlichkeit für neue Überqualifikation sowie mit dynamischen Multinomialen Mixed Logit-Modellen mit …

SOEP data 1984 - 2011, we use probit models for estimating the likelihood of entering overeducation and dynamic mixed … multinomial logit models with random effects addressing state dependence and unobserved heterogeneity. As further robustness …