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来源类型Working Paper
规范类型报告
DOI10.3386/w25167
来源IDWorking Paper 25167
Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting
Mohit Agrawal; Joseph G. Altonji; Richard K. Mansfield
发表日期2018-10-22
出版年2018
语种英语
摘要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 .06 and .17, respectively. Treatment effects are heterogeneous across subgroups, primarily due to nonlinearity in the educational attainment model.
主题Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Education ; Regional and Urban Economics
URLhttps://www.nber.org/papers/w25167
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/582841
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Mohit Agrawal,Joseph G. Altonji,Richard K. Mansfield. Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting. 2018.
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