Non-parametric kernel density estimates are employed for an exploratory analysis of the distributional conseuqnces of the German tax-benefit system using GSOEP. The focuses is on the year 1991 and a detailed analysis is provided. Moreover, the anatomy of income inequality is thoroughly examined,...

Using the GSOEP the paper analyses income mobility and inequality dynamics in Germany in the 90s at various levels of aggregation, ranging from a direct modelling of intra-distributional mobility using bivariate kernel density estimates to an examination of the moving cross-section.

We consider the class of heavy-tailed income distributions and show that the shape of the income distribution has a strong effect on inference for inequality measures. In particular, we demonstrate how the severity of the inference problem responds to the exact nature of the right tail of the...

Finite sample distributions of studentized inequality measures differ substantially from their asymptotic normal distribution in terms of location and skewness. We study these aspects formally by deriving the second-order expansion of the first and third cumulant of the studentized inequality...

In the context of income dynamics, we investigate whether aspects of agents' superior information relative to the econometrician's limited information are captured in subjective expectations data. It is natural, for instance, to assume that the econometrician cannot observe idiosyncratic shocks...

Using administrative panel data on the entire population of new labor immigrants to the Netherlands, we estimate the effects of individual labor market spells on immigration durations using the timing-of-events method. The model allows for correlated unobserved heterogeneity across migration,...

Finite sample distributions of studentized inequality measures differ substantially from their asymptotic normal distribution in terms of location and skewness. We study these aspects formally by deriving the second-order expansion of the first and third cumulant of the studentized inequality...

Heavy-tailed distributions, such as the distribution of stock returns, are prone to generate large values. This renders difficult the detection of outliers. We propose a new outward testing procedure to identify multiple outliers in these distributions. A major virtue of the test is its...