These studies sought to infer the role of genetic factors by contrasting the resemblance of different kinships (usually twins—e.g., Cesarini et al. 2009).
In recent years, his attention has gradually shifted towards applications with molecular genetic data.
[7] Outside of genetics, Cesarini works on a broad range of questions in applied microeconomics and behavioral economics.
These studies all leverage the randomized assignment of lottery prizes in a large sample of Swedish lottery players who have been matched to government records with information about health, labor supply, crime, marriage, and fertility and a host of other variables.
The large and rich data set is an unusually valuable resource for making credible inferences about the causal impact of wealth.