This paper suggests a method of depicting mobility processes of income or earnings. It makes use of nonparametric quantile regression based on bivariate kernel density estimation. The method is illustrated with a comparison of German and US income mobility.

This paper deals with nonparametric inference for second order stochastic dominance of two random variables. If their distribution functions are unknown they have to be inferred from observed realizations. We establish two methods to take the sampling error into account. The first one is based...

This paper develops a technique for estimating age- profiles of earnings mobility using conditional kernel density estimation and establishes their statistical inference. Both pointwise and simultaneous confidence intervals are derived. The paper then examines the age- profile of earnings...

Many developing countries are characterized by a large share of home production. Households allocate their time on both market and non-market activities. The introduction of a tax on labor or capital income induces people to divert from market production to home production. Furthermore, children...