Cited by 5School Choice and PerformanceIntergenerational and Educational Inequality StudiesAdvanced Causal Inference Techniques

Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting

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Agrawal, Mohit, Altonji, Joseph, Mansfield, Richard·2018·National Bureau of Economic Research

Abstract

We extend the control function approach of Altonji and Mansfield (2018) to allow for multiple group levels and complementarities.Our analysis provides a foundation for causal interpretation of multilevel mixed effects models in the presence of sorting.In our empirical application, we obtain lower bound estimates of the importance of school and commuting zone inputs for education and wages.A school/location combination at the 90th versus 10th percentile of the school/location quality distribution increases the high school graduation probability and college enrollment probability by at least .06and .17,respectively.Treatment effects are heterogeneous across subgroups, primarily due to nonlinearity in the educational attainment model.

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Authors
Agrawal, M., Altonji, J., & Mansfield, R.
Affiliations
National Bureau of Economic Research (US)
Venue
National Bureau of Economic Research
Published
2018-10
OpenAlex
W2899133645
Cited by
5
References
2
Citations by year
2023: 1 · 2022: 2 · 2021: 1 · 2019: 1
Type
report
Language
en
Open access
Locations
National Bureau of Economic Research (publishedVersion)
Topics
  • Social Sciences › Education › School Choice and Performance
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
control functions, multilevel mixed-effects models, sorting, complementarity, school quality, family background, returns to education, wages, high school graduation, college enrollment, treatment effect heterogeneity

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