Peer Effects in Academic Research: Senders and Receivers

Working Paper: CEPR ID: DP14376

Authors: Clement Bosquet; Pierre-Philippe Combes; Emeric Henry; Thierry Mayer

Abstract: Using an instrument based on a national contest in France determining researchers’ location, we find evidence of peer effects in academia, when focusing on precise groups of senders (producing the spillovers) and receivers (benefiting from the spillovers), defined based on field of specialisation, gender and age. These peer effects are shown to exist even outside formal co-authorship relationships. Furthermore, the match between the characteristics of senders and receivers plays a critical role. In particular, men benefit a lot from peer effects provided by men, while all other types of gender combinations produce spillovers twice as small.

Keywords: Economics of Science; Peer Effects; Research Productivity; Gender; Publication Gap

JEL Codes: I23; J16; J24


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
peer publications (Y50)individual publications (Y30)
gender of peers (C92)peer effects (C92)
age of peers (C92)peer effects (C92)
characteristics of senders and receivers (L96)magnitude of peer effects (C92)
coauthored publications without peers (Y30)peer effects (C92)
senior researchers (O32)spillovers (O36)
junior researchers (O32)benefit from peer effects (C92)
gender and age of receivers (J16)benefit from peer effects (C92)

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