The objective of this project is to use rich Swedish registry data to learn about mechanisms behind intergenerational correlations. Typically, considerably effort has been spent on estimating correlations between outcome variables, such as education and income, for parents and children. However, the estimated correlations are driven by the causal effect of the parental variable of interest as well as unobservable factors such as other family background related variables and a part that is due to genetic transmission between parent and child. Disentangling these parts is very difficult and only recently has researchers made serious attempts to disentangling these different parts. However, findings vary widely across methods and this literature is still in its infancy. Among questions we ask are: How much of the association between outcome variables for the child and a parent is due to a causal effect from the parental variable, and how much is transmitted through unobservable family factors and genetic transmission? What are the intergenerational transmission and channels for life expectancy and health? What is the importance of genes-environmental interaction? Has the importance of genes, environment and its interactions for the intergenerational associations changed during the growth of the Scandinavian welfare state? How many generations does it take for ancestors placement in the income distribution to not longer matter for life success? These questions are directly relevant for policy, and relate to classical social science issues such as inequality of opportunity and level-of-living in general. The innovativeness of this project is based on using the uniqueness of Swedish registry data (ideal to answer these questions), with which one can match biological and adoptive parents, children and siblings, and hence can identify whether children are reared by their biological or adoptive parents, for the population of Swedes.