In Germany, two observations can be tracked over the past 15 to 20 years: First, income inequality has constantly increased while, second, the average household size has been declining dramatically. The analysis of income distribution relies on equivalence-weighted incomes, which take into...

In Germany, two observations can be made over the past 20 years: First, income inequality has been constantly increasing while, second, the average household size has been declining dramatically. The analysis of income distribution relies on equivalence-weighted incomes which take into account...

Closely following recent innovations in the literature on the multidimensional measurement of poverty, this paper provides similar measures for the top of the distribution using a dual cutoff method to identify individuals, who can be considered as rich in a multidimensional setting. We use this...

This paper employs a multidimensional approach for the measurement of well-being at the top of the distribution using German SOEP micro data. Besides income as traditional indicator for material well-being, we include health as a proxy for nonmaterial quality of life as well as self-reported...

This paper suggests multidimensional affluence measures for the top of the distribution. In contrast to commonly used top income shares, they allow the analysis of the extent, intensity and breadth of affluence in several dimensions within a common framework. We illustrate this by analyzing the...

This paper examines to what extent non-random sorting of spouses affects earnings inequality while explicitly disentangling effects from increasing assortativeness in couple formation from changing patterns of couples' labor supply behavior. Using German micro data, earnings distributions of...

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coefficients and individual effects. The ML-II posterior...

This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelihood using an asymmetric Laplace (AL) error distribution and combine it with suitable prior distributions to obtain...

This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in...

This paper extends the Baltagi et al. (2018, 2021) static and dynamic ε-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the...