Remote Worker Productivity and Peer Effects from a Natural Experiment

5.5 KB of ANOVA test results from a study of peer effects in a fully remote workforce. Hideaki Ishikura used panel data and quasi-random team assignment to analyze productivity impacts, finding a 12.2% increase on teams with highly experienced members. The dataset was last updated on March 17, 2026.

Use Cases

• Modeling the impact of team composition on individual productivity based on the described peer effects.
• Analyzing the relationship between employee tenure and productivity gains mentioned in the study.
• Investigating communication efficiency in remote teams based on the finding that effects are unrelated to communication volume.

Strengths

• Data originates from a company operating with an entirely remote workforce since inception.
• Analysis leverages as-if random assignment of new hires to teams as a quasi-natural experiment.
• Specific effect sizes are reported, such as a 12.2% productivity increase on teams with highly experienced members.

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 5.5 KB, indicating limited scope.

Provenance

Source

figshare, author Hideaki Ishukura.

Collection Method

Panel data from a company with a fully remote workforce, using quasi-random team assignment.

Time Range

null

Freshness

Last updated 2026-03-17 17:25:36; freshness should be verified.

Geography

null