Replication Data for Data-Driven Lobbying and Firm Preferences for Regulation

Replication Data for the paper 'Data-Driven Lobbying: When Firms Want Data Regulation' by Matteo Nebbiai. The dataset is hosted on the Harvard Dataverse platform and was last updated on May 4, 2026. It likely contains the data used to support the analysis and findings of the associated academic paper.

Use Cases

• Analyzing firm-level lobbying positions on data regulation based on the paper's framework
• Replicating statistical models from the associated academic paper
• Studying the relationship between firm characteristics and regulatory preferences mentioned in the description

Strengths

• Data is directly linked to a peer-reviewed academic paper, providing clear research context.
• Hosted on the authoritative Harvard Dataverse platform, ensuring stable access and versioning.
• Last update timestamp (2026-05 04 23:05:02) is precisely recorded.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

Matteo Nebbiai via Harvard Dataverse

Collection Method

Data collected or generated for the academic paper 'Data-Driven Lobbying: When Firms Want Data Regulation'.

Time Range

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Freshness

Last updated 2026-05-04 23:05:02; freshness should be verified.

Geography

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