This program emphasizes the multidimensional character of inequality. We integrate the analysis of several central welfare dimensions and study how they cross-cut each other and co-evolve. Our approach is dynamic, following the development of e.g., economic resources, education, health and well-being across individual lives and generations.
A dataset to study the causal effects of university education, exploiting a statistical technique called regression discontinuity. I study the returns to education (in terms of earnings and wealth), educational spillovers between siblings and across generations, and how university education can influence health and social preferences.
