Remote Worker Productivity and Peer Effects from a Natural Experiment

9.5 KB of panel data from a fully remote company examines peer effects on employee productivity. Hideaki Ishikura authored the study, which was last updated on March 17, 2026. The data leverages as-if random assignment of new hires to teams as a quasi-natural experiment.

Use Cases

• Modeling the effect of team average productivity on individual output based on the described peer effects analysis.
• Analyzing productivity changes for short-tenure employees based on the reported 26.2% increase.
• Investigating the relationship between team experience levels and productivity gains based on the 12.2% increase finding.
• Studying communication efficiency in remote teams based on the described minimal interaction effect.

Strengths

• Data is from a company operating with an entirely remote workforce since inception.
• Analysis leverages as-if random assignment of new hires for causal inference.
• Specific productivity effect sizes (12.2%, 26.2%) are reported in the study.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

Hideaki Ishikura via figshare

Collection Method

Panel data from a single company, using quasi-natural experiment design with random assignment.

Time Range

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Freshness

Last updated 2026-03-17 17:25:30; freshness should be verified.

Geography

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