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Replication data for: Identification of Social Interactions through Partially Overlapping Peer Groups

Version
V0
Resource Type
Dataset
Creator
  • De Giorgi, Giacomo
  • Pellizzari, Michele
  • Redaelli, Silvia
Publication Date
2010-04-01
Description
  • Abstract

    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)
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/app.2.2.241 (Text)
Publications
  • De Giorgi, Giacomo, Michele Pellizzari, and Silvia Redaelli. “Identification of Social Interactions through Partially Overlapping Peer Groups.” American Economic Journal: Applied Economics 2, no. 2 (April 2010): 241–75. https://doi.org/10.1257/app.2.2.241.
    • ID: 10.1257/app.2.2.241 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

De Giorgi, Giacomo; Pellizzari, Michele; Redaelli, Silvia (2010): Replication data for: Identification of Social Interactions through Partially Overlapping Peer Groups. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113748