Better Together? Social Networks in Truancy and the Targeting of Treatment

Magdalena Bennett and Peter Bergman

No 11267, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Truancy correlates with many risky behaviors and adverse outcomes. We use detailed administrative data on by-class absences to construct social networks based on students who miss class together. We simulate these networks and use permutation tests to show that certain students systematically coordinate their absences. Leveraging a parent-information intervention on student absences, we find spillover effects from treated students onto peers in their network. We show that an optimal-targeting algorithm that incorporates machine-learning techniques to identify heterogeneous effects, as well as the direct effects and spillover effects, could further improve the efficacy and cost-effectiveness of the intervention subject to a budget constraint.

Keywords: peer effects; social networks; education (search for similar items in EconPapers)
JEL-codes: D85 I21 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2018-01
New Economics Papers: this item is included in nep-big, nep-net, nep-soc and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Published - published in: Journal of Labor Economics, 2021, 39 (1), 1-36

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Journal Article: Better Together? Social Networks in Truancy and the Targeting of Treatment (2021)
Working Paper: Better Together? Social Networks in Truancy and the Targeting of Treatment (2018)
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