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Distributional Preferences in Adolescent Peer Networks

[working paper]

Schürz, Simon
Alem, Yonas
Kocher, Martin G.
Carlsson, Fredrik
Lindahl, Mikael

Corporate Editor
Institut für Höhere Studien (IHS), Wien

Abstract

We study distributional ("social") preferences in adolescent peer networks. Using incentivized choices between allocations for themselves and a passive agent, children are classified into efficiency-loving, inequality-loving, inequality-averse, and spiteful types. We find that pairs of students who ... view more

We study distributional ("social") preferences in adolescent peer networks. Using incentivized choices between allocations for themselves and a passive agent, children are classified into efficiency-loving, inequality-loving, inequality-averse, and spiteful types. We find that pairs of students who report a friendship link are more likely to exhibit the same preference type than other students that attend the same school. The relation between types is almost completely driven by inequality-loving and spiteful types. Further analyses suggest that preference peer networks are mainly formed by selection into the network and, to a smaller degree, by preference transmission. The role of peer networks in explaining distributional preferences goes beyond network composition effects. A low rank in academic performance and a central position within the network relate positively to a higher likelihood of being classified as spiteful. Hence, social hierarchies seem to be correlated with distributional preference types.... view less

Keywords
adolescent; preference; network; pupil; social relations; hierarchy; behavior

Classification
Sociology of the Youth, Sociology of Childhood
Social Psychology

Document language
English

Publication Year
2020

City
Wien

Page/Pages
36 p.

Series
IHS Working Paper, 20

Status
Published Version; reviewed

Licence
Creative Commons - Attribution 4.0


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.