Testing Random Assignment to Peer Groups

Koen Jochmans

Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge

Abstract: Identification of peer effects is complicated by the fact that the individuals under study may self-select their peers. Random assignment to peer groups has proven useful to sidestep such a concern. In the absence of a formal randomization mechanism it needs to be argued that assignment is `as good as' random. This paper introduces a simple yet powerful test to do so. We provide theoretical results for this test and explain why it dominates existing alternatives. Asymptotic power calculations and an analysis of the assignment mechanism of players to playing partners in tournaments of the Professional Golfer's Association are used to illustrate these claims. Our approach can equally be used to test for the presence of peer effects. To illustrate this we test for the presence of peer effects in the classroom using kindergarten data collected within Project STAR. We find no evidence of peer effects once we control for classroom fixed effects and a set of student characteristics.

Keywords: asymptotic power; bias; peer effects; random assignment (search for similar items in EconPapers)
JEL-codes: C12 C21 (search for similar items in EconPapers)
Date: 2020-04-06
New Economics Papers: this item is included in nep-ecm, nep-net and nep-ure
Note: kj345
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https://www.econ.cam.ac.uk/sites/default/files/pub ... pe-pdfs/cwpe2024.pdf

Related works:
Journal Article: Testing random assignment to peer groups (2023)
Working Paper: Testing Random Assignment To Peer Groups (2023)
Working Paper: Testing Random Assignment To Peer Groups (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:cam:camdae:2024

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