Actuarial Margin Commercial Viability

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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.

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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

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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 →

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