In Simple Words
Imagine a local bakery selling $2 loaves of bread for $8 because home delivery by truck is inefficient. If the bakery switches to automated neighborhood pickup lockers, delivery overhead drops, allowing them to sell the bread for $3.50—a price customers gladly pay while the bakery remains profitable.
Observed rainfall-insurance values
- Mean bid for actual policies
- Rs.68.4
- Two Phase II policy estimates
- Rs.44 to Rs.54
Pooled bids and two Phase II payout estimates have different scopes. Payout estimates use historical data from Anantapur and Mahbubnagar only; no profitability proof.
See source →Research question
Microinsurance programs in developing markets often depend permanently on public subsidies because distribution overheads and administrative loading factors inflate retail premiums beyond customer willingness-to-pay.
Participants
N = 1,978 smallholder farmers across rural Andhra Pradesh, India.
Study Design
Incentive-compatible Becker-DeGroot-Marschak (BDM) elicitation comparing farmer willingness-to-pay against actuarial payout values (Rs. 44-54) and retail face values (Rs. 100-110).
Results
Mean willingness-to-pay was Rs. 68.40 and median willingness-to-pay was Rs. 70.00, significantly exceeding the actuarial expected payout of Rs. 44-54, demonstrating sustainable commercial demand if administrative loading factors match standard US claims ratios (65-76%).
Takeaway
Streamline microinsurance administration using digital verification and mobile settlement channels to lower loading factors below consumer willingness-to-pay thresholds.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Median
The middle number after arranging the values from smallest to largest. If there are two middle numbers, use their average.
ExampleFor the values 2, 4 and 12, the middle value is 4. The median is 4.
NIST · Measures of location ↗Read more about median →