Identification of Social Interactions through Partially Overlapping Peer Groups
2010 ◽
Vol 2
(2)
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pp. 241-275
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Keyword(s):
In this paper, we demonstrate that, in a context where peer groups do not overlap fully, it is possible to identify all the relevant parameters of the standard linear-in-means model of social interactions. We apply this novel identification structure to study peer effects in the choice of college major. Results show that one is more likely to choose a major when many of her peers make the same choice. We also show that peers can divert students from majors in which they have a relative ability advantage, with adverse consequences on academic performance, entry wages, and job satisfaction. (JEL I23, J24, J31, Z13)
2018 ◽
Vol 10
(3)
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pp. 345-369
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Keyword(s):
2021 ◽
Vol 18
(4)
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pp. 1903
Keyword(s):
2017 ◽
Vol 107
(2)
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pp. 425-456
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Keyword(s):
Keyword(s):
2019 ◽
Vol 144
(2)
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pp. 785-806
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Keyword(s):
Keyword(s):