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The Causal Effect of Parent Occupation on Child Occupation: A Multivalued Treatment with Positivity Constraints

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  • Ian Lundberg
  • Daniel Molitor
  • Jennie E. Brand

Abstract

To what degree does parent occupation cause a child’s occupational attainment? We articulate this causal question in the potential outcomes framework. Empirically, we show that adjustment for only two confounding variables substantially reduces the estimated association between parent and child occupation in a U.S. cohort. Methodologically, we highlight complications that arise when the treatment variable (parent occupation) can take many categorical values. A central methodological hurdle is positivity: some occupations (e.g., lawyer) are simply never held by some parents (e.g., those who did not complete college). We show how to overcome this hurdle by reporting summaries within subgroups that focus attention on the causal quantities that can be credibly estimated. Future research should build on the longstanding tradition of descriptive mobility research to answer causal questions.

Suggested Citation

  • Ian Lundberg & Daniel Molitor & Jennie E. Brand, 2025. "The Causal Effect of Parent Occupation on Child Occupation: A Multivalued Treatment with Positivity Constraints," Sociological Methods & Research, , vol. 54(4), pages 1435-1462, November.
  • Handle: RePEc:sae:somere:v:54:y:2025:i:4:p:1435-1462
    DOI: 10.1177/00491241251338412
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    References listed on IDEAS

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    1. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez & Nicholas Turner, 2014. "Is the United States Still a Land of Opportunity? Recent Trends in Intergenerational Mobility," American Economic Review, American Economic Association, vol. 104(5), pages 141-147, May.
    2. Xiang Zhou & Yu Xie, 2019. "Marginal Treatment Effects from a Propensity Score Perspective," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 3070-3084.
    3. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    4. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, August.
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