US Life Insurance Regulatory Competition Replication Data

Replication Data for: Regulatory Competition in the US Life Insurance Industry provides supporting data for an academic study on state-level regulatory dynamics. The dataset was authored by Johnny Tang and is hosted by the Harvard Dataverse. It was last updated on March 30, 2026.

Use Cases

• Analyzing relationships between state regulatory features and insurance company market entry decisions.
• Modeling the impact of state-level variables, such as capital requirements or premium tax rates, on industry outcomes.
• Testing hypotheses on regulatory arbitrage using state identifiers and firm-level data points.
• Replicating econometric analyses from the associated study on competition between state regulators.

Strengths

• Data supports replication of a peer-reviewed academic study, ensuring methodological relevance.
• Hosted on the Harvard Dataverse, a reputable academic data repository.
• Includes a recent update timestamp from March 2026.

Limitations

• Specific row count, column names, and data volume are unknown.
• The dataset's temporal coverage and geographic granularity beyond the US are unspecified.
• Potential for limited features if it contains only the essential variables for the specific study's replication.

Provenance

Source

Harvard Dataverse, authored by Johnny Tang.

Collection Method

Created as replication data for an academic study; original collection method is null.

Freshness

Last updated on 2026-03-30.

Geography

United States (implied by topic).