Northwestern Burkina Faso is the focus of this dataset, which captures preferences for index-based weather insurance among smallholder farmers. It contains results from a discrete choice experiment with 200 participants, conducted by Edmund Yeboah and harvested by heiDATA. The data was last updated on April 26, 2026.
Use Cases
- Modeling farmer preferences for insurance attributes based on premium, payout, and risk coverage.
- Analyzing the relative importance of different distribution channels like government agencies, financial institutions, and NGOs.
- Segmenting farmer populations into latent groups with distinct insurance preferences.
- Informing the design of user-centered index-based insurance products for drought and flood coverage.
Strengths
- Data is based on a discrete choice experiment with 200 participants.
- Experiment design examined four specific attributes: premium, payout, rainfall risk, and distribution channel.
- Analysis employed mixed logit and latent class models for preference estimation.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Freshness should be verified as the last update timestamp is in the future (2026-04-26).
Provenance
- Source
- heiDATA Harvested Dataverse
- Collection Method
- Discrete choice experiment administered to participants in three blocks.
- Freshness
- Last updated 2026-04-26 07:10:10
- Geography
- Northwestern Burkina Faso