This note proposes a convenient graphical representation of the wealth distribution and illustrates it with data from the Eurosystem Household Finance and Consumption Survey (HFCS). We also present more evidence on the role of homeownership for wealth inequality in euro area countries.

This paper utilises distributional random forests as a flexible machine learning method for analysing income distributions. Distributional random forests avoid parametric assumptions, capture complex interactions among covariates, and, once trained, provide full estimates of conditional income...

This note proposes a convenient graphical representation of the wealth distribution and illustrates it with data from the Eurosystem Household Finance and Consumption Survey (HFCS). We also present more evidence on the role of homeownership for wealth inequality in euro area countries.

Abstract Based on data from the Eurosystem Household Finance and Consumption Survey (HFCS), we revisit the question of how differences in household characteristics can account for cross-country differences in wealth inequality. We first show that commonly used RIF-decompositions are typically...