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Updated: Mar 31, 2026

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Published on: October 17, 2019
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Peer effects on worker output in the laboratory generalize to the field
Daniel Herbst1, Alexandre Mas2
1Department of Economics, Industrial Relations Section, Firestone Library, Princeton University, Princeton, NJ 08544, USA.
Summary
Laboratory experiments accurately predict peer effects on worker productivity in real-world settings. This study confirms that lab findings on productivity spillovers quantitatively generalize to field environments.
Area of Science:
- Behavioral Economics
- Organizational Behavior
- Experimental Economics
Background:
- Understanding peer effects on worker productivity is crucial for optimizing workplace dynamics.
- Previous research has relied on both laboratory experiments and field studies, raising questions about generalizability.
Purpose of the Study:
- To compare and synthesize estimates of peer effects on worker output from laboratory experiments and field studies.
- To determine if laboratory findings on productivity spillovers quantitatively generalize to naturally occurring work environments.
Main Methods:
- Meta-analysis of 34 studies, combining data from laboratory experiments and field studies.
- Comparison of mean effect sizes (γ) and between-study variance (τ) for peer effects on productivity.
- Statistical controls for sample characteristics like incentive schemes and work complexity.
Main Results:
- The average estimated peer effect (γ) across all studies is 0.12 (SE = 0.03).
- Mean estimates of peer effects and their variance were statistically similar between laboratory and field studies.
- This similarity persisted even after controlling for factors like incentives and task complexity.
Conclusions:
- Laboratory experiments provide a quantitatively accurate representation of mean and variance in productivity spillovers.
- Findings suggest strong generalizability of peer effect research from controlled lab settings to real-world workplaces.
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