Pools of Rain and Risk: Data for Forecast Skill and Insurance Enrollment Analysis

Harvard Dataverse hosts data used for analysis in the study 'Pools of rain and risk: How forecast skill affects enrollment in rainfall-indexed insurance.' The dataset was authored by Anne Carroll and last updated on June 10, 2026. It likely contains variables related to rainfall forecasts, insurance enrollment decisions, and risk metrics.

Use Cases

• Modeling insurance enrollment decisions based on forecast skill metrics mentioned in the description
• Analyzing the relationship between rainfall predictions and financial risk assessment
• Evaluating the impact of forecast accuracy on participation in indexed insurance programs

Strengths

• Data is directly linked to a specific, named research study, providing clear context.
• The dataset was last updated on June 10, 2026, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

Harvard Dataverse

Freshness

Last updated 2026-06-10 19:22:22