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Does Opportunity Skip Generations? Reassessing Evidence From Sibling and Cousin Correlations
1Department of Sociology and Office of Population Research, 227 Wallace Hall, Princeton University, Princeton, NJ, 08544, USA. ilundberg@princeton.edu.
Sibling and cousin correlations reveal family influence on socioeconomic outcomes. However, these correlations can stem from various theoretical processes, necessitating careful interpretation and uncertainty estimation.
Area of Science:
- Sociology
- Economics
- Genetics
Background:
- Sibling and cousin correlations quantify socioeconomic outcome similarity within families.
- These correlations are often interpreted as evidence of family influence on life chances.
- Existing interpretations may oversimplify the complex processes underlying these correlations.
Purpose of the Study:
- To investigate the theoretical ambiguity of sibling and cousin correlations in multigenerational mobility.
- To demonstrate that empirical correlations can arise from multiple distinct theoretical models.
- To develop methods for estimating the uncertainty associated with these correlations.
Main Methods:
- Illustrating theoretical ambiguity using multigenerational mobility models.
- Comparing empirical correlations with alternative transmission theories (latent and dynamic).
- Developing a Bayesian procedure for estimating sibling and cousin correlations and their uncertainty.
Main Results:
- Empirical sibling and cousin correlations are consistent with multiple theoretical explanations, not just direct extended kin influence.
- Alternative theories, such as measurement error or changing parent-child transmission, can also explain observed correlations.
- Point estimates of correlations can be highly uncertain, potentially misleading without uncertainty quantification.
Conclusions:
- Sibling and cousin correlations are descriptive but require theoretical assumptions for interpretation.
- Observed correlations do not uniquely identify specific causal pathways of family influence.
- Future research should use these correlations cautiously, acknowledging their potential for diverse theoretical origins and employing uncertainty estimation.
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