Objective 1 - Individual Long-Duration Health Contracts Flashcards
Types of antiselection
- External antiselection - occurs as the person is first becoming insured. Those with expensive health conditions will seek insurance.
- Internal antiselection - occurs while the person is insured
a. Buy-down effect - upon receiving a rate increase, some policyholders switch to lower cost plans, so the actual premium increase will be less than expected
b. Premium leakage - unhealthy individuals are less likely to buy down their benefits. So the claim cost reduction is less than the premium reduction and not enough premium is collected. - Durational (cumulative) antiselection - occurs as people make decisions about whether to end coverage. Higher cost insureds tend to keep their coverage in force longer.
Mechanisms for controlling external antiselection
- Individual underwriting before issue - includes initial screening of applicants by the agent
a. In life insurance, medical U/W is a physician medical exam
b. In health insurance, medical U/W is a medical questionnaire - Pre-existing condition limitations
- Requiring an enrollment mechanism that doesn’t permit antiselection (for example, minimum participation percentages for associations)
Tools used in the underwriting process
- Individual application - includes medical history, financial information (if needed), and a release to obtain information from 3rd parties
- Attending physician statement - the insurer may choose to request an APS from any physician listed in the application
- Commercial databases (such as MIB) - used to check info provided in application
- Internal data - such as prior applications and claim databases
- Telephone interviews - these can replace the need for requesting third party information, thereby speeding up the U/W process; also higher level of honesty than on written questionnaires
- Inspection reports - any info obtained through direct contact with the applicant or others related to the applicant
- Lab testing - may detect tobacco, illegal drugs, or the presence of some medical conditions
- Medical exams - due to high costs, rarely used in U/W for medical coverages
- Tax returns - often the best source of financial info
- Pre-existing condition provisions - used to protect against antiselection. For some coverages (such as hospital indemnity), these provisions replace U/W entirely.
Actions available to the underwriter
- Offer full coverage with no restrictions
- Decline coverage
- Offer coverage at a higher premium rate - the added load may be either temporary or permanent, based on the condition
- Offer a standard policy with an exclusion rider - the rider excludes coverage for a specific condition or body system
- Offer a different policy than the one applied for - eg, offer coverage in a substandard risk pool or limited benefit plan
- Offer a different benefit plan than the one applied for - eg, offer a longer elimination period or shorter benefit period on a disability income policy
Criteria for selecting claims to investigate
- Timing - usually do not investigate claims beyond the time limit for rescinding a contract
- Conditions - certain conditions (eg, accidents) can be ruled out as being a pre-existing condition
- Size - don’t investigate a claim if the cost of investigation exceeds the cost of the claim
- Sentinel conditions or procedures - some conditions are related to others that lend themselves to antiselection (eg, certain diseases may be an indicator of the presence of HIV)
Situations in which the CAST model does not work well
- In the first 3-4 durations, when the impact of U/W wear off overwhelms the CAST effects. The solution is to apply additional U/W selection factors.
- In later durations, where only a fraction of the original population remains. The solution is to choose a higher value of k2, and recalibrate the model.
- At all durations, when a rate spiral is severe and volatile. The projection formulas may need stronger terms to fit this type of situation, such as:
ShockLapse = [RateIncrease - Trend] / [(RateIncrease - Trend) + (1 + Trend) / EF], where
EF = Elasticity Factor, which measures the price elasticity of the population (eg, may be 1.3 for healthy lives and 0.8 for unhealthy lives)
Essential characteristics of a good model (2)
- Reliable accuracy - a model must be good at predicting the future. It must also be robust (can be used to model input variables over range of possible values).
- Suitability for use - the model should produce the results it was designed for, without adding unnecessary complications
- Appropriate precision - this relates to how many decimal places should be kept in the values
- Sensibility - the model should reflect a logical construction of what is being modeled
- Effectively communicated - this includes communicating everything necessary to understand and use the model’s results
Uses of health insurance financial models (2)
- Pricing - financial and sales models are used to determine premiums
- Reserve calculations and reserve basis evaluation - some reserves (such as gross premium reserves) are calculated by forecasting models
- Monitoring of results - to validate assumptions, to warn of deviations from expected values, and for resource planning
- Solvency testing - may indicate a need for gross premium reserves
- Financial forecasting - corporations forecast results for various reasons
- Actuarial appraisals - these are studies of the value of a block of business, typically used when transferring ownership
Steps in building a forecast model (3)
- Choosing the basic structure of the model
a. Tools used include spreadsheets, database models, and sequential programs
b. Model types include asset share models and reserve development models - Choosing the info to be carried - the info needed will depend on the purpose of the model
- Choosing assumptions and building a prototype projection
a. Starting values and assumptions bust be built into the model
b. A prototype cell is defined, ad then projected to the end of the forecast period - Extending the prototype - after the prototype cell is built, the model must be extended to other cells which represent the different subsets of the business being modeled
- Validating the model (see separate list of validation methods)
- Documenting the model - this allows the model to be evaluated by other professionals, and it makes it easier to make modifications
- Designing output and communicating results - the model output can be useless unless it is put into the context of the question being asked
Methods for validating forecast models (6)
- Starting values are compared directly to the actual values for that year
- Year to year changes in the model are compared to actual past historical results
- Model results are checked for reasonableness by people familiar with the business
- Stress testing - analyze how the modeled results behave when some of the underlying assumptions are changed (includes sensitivity testing)
Assumptions needed for forecasting (6)
- Lapse assumptions - lapse rates vary widely by product, duration, company, and member or policy characteristics. They are generally highest in the first year, and then decrease thereafter.
- Mortality - some models treat mortality as a separate decrement, but most models combine mortality and lapses (because mortality is a minor assumption for health insurance)
- Claim costs - it is best to use actual experience when possible. Trend assumptions are needed for determining future claim costs.
- Expense assumptions - expenses are usually expressed on a per unit basis (such as per policy or a % of premium or claims)
- Profit assumptions - profits can be measured as an ROI, an ROE, or a % of premium
- Model office assumptions - these assumptions define the proportion of the block of business that is represented by each model cell
Bases used as expected amounts for A/E analysis (9)
- Original pricing assumptions - management likely reviewed these assumptions when the product was being developed, so management expectations may be based on these assumptions
- Profit targets - this is the bottom line metric that most senior management is interested in
- Current pricing - may be the most useful measure for inflation sensitive products, since inflation targets are not reliable over the long term
- Tabular - for DI coverage, a published table is often used for comparison. For DI and LTC, companies with large amounts of data may develop their own internal tables for comparisons
Types of disability income claim experience studies (22)
- A/E morbidity - this is the most preferable method of examining disability income experience, but there is often not enough data for morbidity studies. Morbidity consists of:
a. The rate of disability - the # of disabled lives / 1000 lives exposed
b. The rate of recovery -measures the length of disability. The # of disabled lives that will recover at different points in time / 1000 disabled lives - Loss ratios - due to the limited amount of data, most studies are based on claims ratios:
a. Cash ratio - claims $ paid out / earned premiums
b. Incurred claims ratio (preferred) - (claims + ALR + claim reserve) / earned premium
Types of reserves in disability income insurance (18)
- Active life reserve - exists for policies priced on a level-premium basis. Consists of the excess premiums charged in early years to cover the premium shortfall in later years.
- Disabled life reserve - established to cover each disability claim and its projected length
Factors that stimulate product development for disability income (19)
- Responding to the competition - because the marketplace is so product sensitive, the disability income insurer must be quick to react to its competitors’ product changes
- Consumer demands - as the consumer has become more aware of the need for long-term disability protection, the DI product has evolved. The product development process must be responsive to whatever changes emerge in the future.
- Claims experience - this must be monitored on an ongoing basis. When pricing assumptions prove to be inaccurate, changes in product language, rate structure, or U/W may be needed for future sales.
- Gov’t influences - for example, the expansion of the Social Security disability program in the 1970s affected DI insurers. Regulatory and tax changes can also impact DI insurance.