model. Strong consistency is proved. In addition, in the case of truncated and tobit regression models, maximum score …This paper presents maximum score type estimators for linear, binomial, tobit and truncated regression models. These …

model. Strong consistency is proved. In addition, in the case of truncated and tobit regression models, maximum score …This paper presents maximum score type estimators for linear, binomial, tobit and truncated regression models. These …

estimation models. Parametric Engel curves are modelled using OLS, MM robust regression, and Tobit. Semiparametric Engel curves …

The nonparametric censored regression model is y = max[c, m(x) + e], where both the regression function m(x) and the …

This study focuses on a comparison and evaluation of models and estimators appropriate for time-use data. The tobit … type I as well as different generalizations are used. According to our findings, a simple tobit I method can produce …

The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y = max[0,m … heteroscedasticity. We also extend the estimator to the nonparametric truncated regression model, in which only uncensored data points …

-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 …