Retail Commercial Viability & Loading Factors
RCTClinical Trial
Micro-insurance markets often suffer from low voluntary adoption because retail commercial prices include administrative loading factors that push policy premiums well above actuarial expected payouts.
Picture this
Imagine an arcade game where every $1 step costs $2 to play because of electricity and venue rent; players refuse to play until modern technology cuts the venue's operating costs so low that the game costs only $1.20 per play.
What the evidence says
The median willingness to pay was Rs. 70 per policy, significantly exceeding the actuarial value of Rs. 44–54 [11]. This ratio falls directly within US retail insurance claim-to-premium benchmark ranges (64.7%–76.2%) [11, 12].
- Who was studied
- N = 1,978 farmers in Andhra Pradesh, India evaluating 4 distinct index policies [9, 10].
- How
- Becker-DeGroot-Marschak (BDM) elicitations comparing median farmer willingness to pay against actual actuarial expected values (Rs. 44–54) and market retail prices (Rs. 100–110) [11].
What to do
Utilize mobile payment infrastructure and automated weather data pipelines to compress administrative loading factors, enabling retail index insurance pricing below median smallholder willingness to pay [11].
From the source
"Indeed, the median bid is 70, well above the actuarial price of the policy. This suggests that, if distribution costs were reduced dramatically for example, by allowing purchase, and claims payouts with mobile money... the policies could be quite successful commercially." [11]
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