Remote Work Productivity and Peer Effects from a Natural Experiment

Robustness check results from a study examining peer effects in a fully remote workforce. The dataset likely contains statistical outputs from a panel data analysis leveraging as-if random assignment of new hires to teams. It was authored by Hideaki Ishikura and last updated in March 2026.

Use Cases

• Validate peer effect models based on the described natural experiment design.
• Analyze the relationship between team experience and individual productivity based on the reported 12.2% and 26.2% effect sizes.
• Investigate communication-independent productivity influences based on the finding that effects appear unrelated to communication volume.

Strengths

• Data is derived from a panel study of a company with a fully remote workforce since inception.
• Analysis leverages a quasi-natural experiment via as-if random assignment of new hires.
• Specific effect sizes are reported, such as a 12.2% productivity increase with experienced teams.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 13.5 KB, indicating limited scope.

Provenance

Source

figshare, authored by Hideaki Ishikura.

Collection Method

Likely contains statistical results from a panel data analysis of a single company.

Time Range

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Freshness

Last updated 2026-03 17:25:39; freshness should be verified.

Geography

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