Peril Mismatch in Index Insurance Design

Download image · 1200 × 630 PNG

In Simple Words

Imagine buying a flood insurance policy for a seaside home when the main threat destroying local houses is severe wildfire. The policy provides zero payouts when a wildfire hits because the insurance gauge only monitors ocean water levels.

Villages considered for the pilot

Mainly drought risk
84 passed the hazard check
Mainly frost or flood risk
No suitable index available

Observed village selection, not a treatment effect. Drought villages faced a further rainfall-record check before inclusion.

See source →

Research question

Index insurance products designed around a single peril like rainfall deficit fail when the dominant localized crop hazards faced by smallholders are un-indexed perils like frost or flooding.

Participants

120 Kebeles initially selected across 4 zones (North Shewa, West Gojam, South Wello, North Wello) in Amhara, Ethiopia.

Study Design

Agro-climatic hazard auditing and site selection mapping during pilot program implementation.

Results

36 out of 120 Kebeles (30%) were excluded from the study because rainfall deficit was not the primary hazard, as frost and flooding predominated and lacked suitable index data.

Takeaway

Conduct pre-implementation agro-climatic hazard assessments across target communities to verify that the insured weather metric matches the dominant local driver of crop loss.

Source and citation

See source →

Related findings