We compare estimates of peer effects on worker output in laboratory experiments and field studies from naturally occurring environments. The mean study-level estimate of a change in a worker's productivity in response to an increase in a co-worker's productivity (γ) is γ̑ = 0.12 (SE = 0.03, n(studies) = 34), with a between-study standard deviation τ = 0.16. The mean estimated γ̑-values are close between laboratory and field studies (γ̑(lab) - γ̑(field) = 0.04, P = 0.55, n(lab) = 11, n(field) = 23), as are estimates of between-study variance τ(2) (τ̑(lab)(2) - τ̑(field)(2) = -0.003, P = 0.89). The small mean difference between laboratory and field estimates holds even after controlling for sample characteristics such as incentive schemes and work complexity (γ̑(lab) - γ̑(field) = 0.03, P = 0.62, n(samples) = 46). Laboratory experiments generalize quantitatively in that they provide an accurate description of the mean and variance of productivity spillovers.
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Herbst et al. (2015) studied this question.
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