In this paper, we revisit the Mulligan and Rubinstein (2008: Selection, investment and women's relative wages over time. The Quarterly Journal of Economics, 123(3):1061-1110) analysis about the composition of the female workforce in the United States. Using a Heckman selection model, these...

In this paper we provide semiparametric estimation strategies for a sample selection model with a binary dependent variable. To the best of our knowledge, this has not been done before. We propose a control function approach based on two di erent identifying assumptions. This gives rise to...

In this paper, we derive a semiparametric estimation procedure for the sample selection model when some covariates are endogenous. Our approach is to augment the main equation of interest with a control function which accounts for sample selectivity as well as endogeneity of covariates. In...

In this paper we establish a full information maximum likelihood approach to estimating the sample selection model with endogenous covariates. We also provide a test for exogeneity which indicates whether endogeneity is in fact a matter or not. In contrast to other methods proposed in the...

We provide a semiparametric copula approach for estimating a classical sample selection model. We impose that the joint distribution function of unobservables can be characterized by a specifc copula, but the marginal distribution functions are estimated semiparametrically. In contrast to...

In this paper, we consider a detailed decomposition method for limited dependent variable models. That means, we propose a method to decompose the differential in the (limited dependent) outcome variable between two groups into the contributions of the explanatory variables. We provide a...

The fractional probit (or fractional logit) model is used when the outcome variable is a fractional response variable, i.e. a variable taking a value between zero and one. In case of excess zeros, the fractional probit model might not be the optimal modeling device since this model does not...

This paper develops a bivariate fractional probit model for fractional response variables, i.e., variables bounded between zero and one. The model can be applied when there are two seemingly unrelated fractional response variables. Since the model relies on a quite strong bivariate normality...

This paper develops a sample selection model for fractional response variables, i.e., variables taking values in the [0, 1]-interval. It provides an extension of the Papke and Wooldridge (1996) fractional probit model to the case of non-random sample selectivity. The model differs from the...

This paper develops a sample selection model for fractional response variables, i.e., variables taking values between zero and one. It is shown that the proposed model is consistent with the nature of the fractional response variable, i.e., it generates predictions between zero and one. A...