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

Mohit Agrawal, Joseph Altonji and Richard Mansfield

No 25167, NBER Working Papers from National Bureau of Economic Research, Inc

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 .06 and .17, respectively. Treatment effects are heterogeneous across subgroups, primarily due to nonlinearity in the educational attainment model.

JEL-codes: C1 C31 I20 I24 I26 R23 (search for similar items in EconPapers)
Date: 2018-10
New Economics Papers: this item is included in nep-ecm and nep-ure
Note: CH ED LS
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published as Mohit Agrawal & Joseph G. Altonji & Richard K. Mansfield, 2019. "Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting," Journal of Labor Economics, vol 37(S1), pages S11-S83.
Published as Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting , Mohit Agrawal, Joseph G. Altonji, Richard K. Mansfield. in Youth Labor Markets , Card. 2019

Downloads: (external link)
http://www.nber.org/papers/w25167.pdf (application/pdf)

Related works:
Journal Article: Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting (2019)
Chapter: Quantifying Family, School, and Location Effects in the Presence of Complementarities and Sorting (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:25167

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w25167

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().