Education Transmission and Network Formation
Vincent Boucher,
Carlo L. Del Bello (),
Fabrizio Panebianco (),
Thierry Verdier and
Yves Zenou
Additional contact information
Carlo L. Del Bello: Paris School of Economics
Fabrizio Panebianco: Bocconi University
No 14802, IZA Discussion Papers from Institute of Labor Economics (IZA)
Abstract:
We propose a model of intergenerational transmission of education wherein children belong to either highly educated or low-educated families. Children choose the intensity of their social activities while parents decide how much educational effort to exert. Using data on adolescents in the United States, we structurally estimate this model and find that, on average, children's homophily acts as a complement to the educational effort of highly educated parents but as a substitute for the educational effort of low-educated parents. We also perform some counterfactual policy simulations. We find that policies that subsidize kids' socialization efforts can backfire for low-educated students because they tend to increase their interactions with other low-educated students (i.e., homophily), which reduces the education effort of their parents and, thus, their chance of becoming educated. On the contrary, policies that increase heterophily by favoring friendship links between kids from different education backgrounds can be effective in reducing the education gap between them.
Keywords: cultural transmission; homophily; education; social networks (search for similar items in EconPapers)
JEL-codes: D85 I21 Z13 (search for similar items in EconPapers)
Pages: 50 pages
Date: 2021-10
New Economics Papers: this item is included in nep-edu, nep-net, nep-soc and nep-ure
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Published - published in: Journal of Labor Economics, 2023, 41 (1), 129 - 173
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Related works:
Journal Article: Education Transmission and Network Formation (2023) 
Working Paper: Education Transmission and Network Formation (2023)
Working Paper: Education Transmission and Network Formation (2023)
Working Paper: Education Transmission and Network Formation (2020) 
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