Suchergebnisse

Abstract
We introduce a novel approach for decomposing sibling correlations in socioeconomic attainment into group-specific components. These groups are defined at the family level, based on factors such as parental income, marital status, race, or the gender composition of siblings. Unlike existing studies that compare sibling correlations across different groups, our method accounts for differences in average outcomes between groups in the overall outcome distribution. This approach results in a group-specific measure of persistence in the overall outcome distribution, contrasting with the 'within-group' measure commonly used in the literature. Additionally, we propose a straightforward 'counterfactual' framework to identify which groups have a greater impact on trends or country differences in sibling correlations. We present three examples that demonstrate the utility of our method.

Abstract
This paper presents new estimates of sibling correlations in health and socioeconomic outcomes over the life course in the U.S. Sibling correlations provide an omnibus measure of the importance of all family and community influences. I find that sibling correlations in a range of health and socioeconomic outcomes start quite high at birth and remain high over the life course. The sibling correlation in birth weight is estimated to be 0.5. Sibling correlations in test scores during childhood are as high as 0.6. Sibling correlations in adult men's wages are also around 0.5. Decompositions provide suggestive evidence on which pathways may account for the gradients in health and SES by family background. For example, sibling correlations in cognitive skills and non-cognitive skills during childhood are lower controlling for family income. Similarly, parent education levels can account for a sizable portion of the correlation in adult health status among brothers.

AbstractThe sibling correlation (SC), which estimates the total effect of family background (i.e., social origins), can be interpreted as measuring a society's inequality of opportunity. Its sensitivity to observed and unobserved factors makes the SC an all-encompassing measure and an attractive choice for comparative research. We gather and summarize all available estimates of SCs in educational attainment (M = .46, SD = .09) and employ meta-regression to explore variability in these estimates. First, we find significantly lower SCs in Sweden, Norway, Finland, and Denmark than in the United States, with U.S. correlations roughly .10 (i.e., 25%) higher. Most other (primarily European) countries in our study are estimated to fall in between these countries and the United States. Second, we find a novel Great Gatsby Curve–type positive association between income inequality in childhood and the SC, both cross-nationally and within countries over time. This finding supports theoretical accounts of the Great Gatsby Curve that emphasize the role of educational inequality as a link between economic inequality and social immobility. It implies that greater equality of educational opportunity likely requires reduced economic inequality. Additionally, correlations between sisters are modestly higher, on average, than those between brothers or all siblings, and we find no overall differences between cohorts.