In this paper we explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification. Using a bootstrapped Kolmogorov-Smirnov test we find that conditional personal income distributions can generally...

In this paper we explore the application of structured additive distributional regression for the analysis of conditional income distributions in Germany following the reunification. Using a bootstrapped Kolmogorov-Smirnov test we find that conditional personal income distributions can generally...

In this paper, we propose a new comprehensive framework for analysing wage discrimination. This framework assesses wage discrimination on the grounds of conditional wage distributions (rather than just conditional means), regards the whole population (rather than just those in work) and employs...

Estimating nonlinear effects of continuous covariates by penalized splines is well established for regressions with cross-sectional data as well as for panel data regressions with random effects. Penalized splines are particularly advantageous since they enable both the estimation of unknown...

In this paper we reconsider the relationship between income on health, taking a distributional perspective rather than one centered on conditional expectation. Using Structured Additive Distributional Regression, we find that the association between income on health is larger than generally...