Previous research shows that transmission of attitudes in the family is gendered. However, there are limited findings about intergenerational transmission of risk attitudes and whether it is gendered. This study replicates the findings by Dohmen et al. (Rev Econ Stud 79(2):645-677) for Germany by using quantitative data from Burkina Faso in 2014 to analyze three different self-reported risk questions. Our results show a strong intergenerational transmission of attitudes from parents to children in which positive assortative mating strengthens the parents' transmission of attitudes to her child. Mothers' transmissions are stronger for their daughters than sons. For fathers, the pattern is inverted. Our findings also show the existence of heterogeneity in intergenerational transmission within a male-and female-dominated risk domain. This supports the gender-specific role model hypothesis. Furthermore, we find support for the transmission of attitudes from the local environment to the child, but the strength and significance of this transmission decrease when controlling for parents' attitudes.

From a sociological stratification perspective, we would expect occupationally based measures to be valid proxies for lifetime earnings, but recent research suggests that annual earnings outperform occupational measures. In this article, we examine how class, occupation, education, and annual earnings are associated with lifetime earnings across almost complete working lives, at ages of around 20–65 years for Swedish cohorts born in the 1940s. Our results indicate that while annual earnings are considerably more accurate proxies for the lion’s share of working life, occupational measures are as expected more stable and somewhat better at the start and end of working lives. Our results also support the idea that micro-classes are better proxies of lifetime earnings than big classes. Contrary to some previous research, occupational measures perform better for women than for men in this respect, and occupational measures are better than education. Our main conclusions are that proxies for lifetime earnings have life-cycle biases that should be considered in, for instance, analyses of intergenerational mobility, and that occupationally based measures are more stable than annual earnings but, overall, are not very valid as indicators of lifetime earnings compared to annual earnings.