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Econometrica
Article
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zbMATH Open
Article . 2021
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Econometrica
Article . 2021 . Peer-reviewed
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Team Players: How Social Skills Improve Team Performance

Team players: how social skills improve team performance
Authors: Weidmann, Ben; Deming, David J.;

Team Players: How Social Skills Improve Team Performance

Abstract

Most jobs require teamwork. Are some people good team players? In this paper, we design and test a new method for identifying individual contributions to team production. We randomly assign people to multiple teams and predict team performance based on previously assessed individual skills. Some people consistently cause their team to exceed its predicted performance. We call these individuals “team players.” Team players score significantly higher on a well‐established measure of social intelligence, but do not differ across a variety of other dimensions, including IQ, personality, education, and gender. Social skills—defined as a single latent factor that combines social intelligence scores with the team player effect—improve team performance about as much as IQ. We find suggestive evidence that team players increase effort among teammates.

Related Organizations
Keywords

design of experiments, skills, Labor markets, Experimental studies, human capital

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    48
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
48
Top 1%
Top 10%
Top 1%
bronze