10.12.2012 Views

MR Microinsurance_2012_03_29.indd - International Labour ...

MR Microinsurance_2012_03_29.indd - International Labour ...

MR Microinsurance_2012_03_29.indd - International Labour ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

478 Insurers and microinsurance<br />

premiums are actuarially determined for each sub-group of a target population,<br />

some sub-groups may not be able to afford the product. Cross-subsidization is<br />

therefore acceptable as long as anti-selection does not become a threat to the<br />

scheme’s sustainability; for example, the older cooperative members could be<br />

excluded (de facto or due to higher premiums) from a life insurance cover if pricing<br />

is not on a community basis.<br />

– Simplicity: A simple premium structure will be easier to administer, and easier<br />

to explain to the target population, thus increasing understanding of the<br />

product, which may lead to higher take-up.<br />

– Scale: If a large number of people purchase the product because of its affordability<br />

and simplicity, then it will be easier to spread fixed costs and make the scheme<br />

more sustainable in the long term. If scale is achieved, uncertainty as to pricing<br />

and other financial criteria is reduced.<br />

In the long run, community pricing permits better development objectives<br />

and allows the risk carrier to achieve scale and better profitability. The shortcomings<br />

of community pricing can be mitigated with underwriting rules (e.g.<br />

eligibility conditions). While pricing is conducted at community or group level,<br />

factors such as age and gender should be taken into account in the detailed analysis<br />

and monitoring of the results. Analysis at a more granular level ensures that<br />

there is no anti-selection and that the risk premium remains fair.<br />

Scenario analysis and reasonability checks<br />

Once a premium has been calculated, a sensitivity analysis testing the impact of<br />

variations in a single assumption can help identify the variable to which the<br />

financial performance of the product is the most sensitive. Since the financial<br />

results will vary depending on take-up, the maturity of the scheme, the behaviour<br />

of the population and the uncertainty related to these factors, different experience<br />

scenarios should be explored to understand the range of possible financial<br />

outcomes for the scheme priced.<br />

Once the pricing specialist has produced a suggested premium, it should be<br />

checked against the ATP and WTP to ensure that it is reasonable. A major challenge<br />

for the project team is to offer protection that matches the needs of lowincome<br />

households at an affordable premium that covers claims, other expenses<br />

and any reserving requirements and profit margins required for the product to be<br />

sustainable. It is likely to take several iterations of the pricing process to reach an<br />

acceptable balance so that it is valued by and affordable for the customers. To do<br />

so, it may be necessary to review the product design by reducing or changing the<br />

benefit structure to make the product more affordable, or exploring scheme<br />

implementation and process improvements.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!