28. Pricing health and care contracts Flashcards
What are the two approaches to pricing IP?
- Multi-state modelling
- Claim inception/disability annuity approach
Explain how multi-state modelling could be used to price IP
Hint: states»_space; mu and p»_space; value»_space; variation by prev times ill»_space; duration»_space; many subcohorts»_space; can use combos»_space; value of claims»_space; value of premiums»_space; investment income and expenses»_space; ph expected next month
- Track ph through different states:
- Healthy
- Sick within deferred period
- Sick and claiming
- Dead
- Lapsed
- Make assumptions about forces of transitions between states and find probability of being in states at future times
- Use probabilities to value benefits and premiums
- Transition probabilities may vary according to # of previous times cohort has been ill
- Transition rates may be function of duration within stage
- May lead to many subcohorts of transition probabilities»_space; spurious accuracy
- Can use appropriate combinations of subcohorts to have fewer and more reliable probabilities
Valuing premiums and benefits:
* Value of claims depends on # of lives in benefit receiving state
* Value of premiums depends on # of lives in premium receiving state
* Must allow for investment income and expenses
* Transition intensities applied to each state to find # of of ph expected in next month
Explain how the claim-inceotion/disability approach can be used to price IP
Hint: functions; expected cost of claims producing mid-year values; disability annuity; claim inception rate; allowance
Makes use of two functions:
* claim inception rate and disabled life annuity
- Expected cost of claims incepted in each future year can be found from:
survival probability X claim inception rate X disability annuity
…producing mid-year values
Disability annuity:
* PV at claim date of expected claim payments to ph disabled after deferred period until policy expiry
* Only for current claims ending on death, recovery or policy expiry.
* Based on double ddcrement table for sick lives: death and recovery
* Annuity value varies by the deferred period
Claim inception rates:
* Probability claim will be payable for ph in year of age x to x+1
* Broadly = sickness inception rate X probability of sick staying sick through deferred period.
* 3 cariations of inception rates:
- initial claim inception rate
- central claim inception rate (claim inceptions)
- central claim inception rate (sickness inceptions)
Allowance made for:
* Benefit escalation
Prob of death and recovery between end of deferred period *and maturity
Describe the 3 variations of claim inception rates under inception/annuity approach
Initial claim inception rate i(x,d):
* Prob of claim inceptions following deferred period during year of age [x,x+1]…
* Arising from sickness inceptions at [x-d,x-d+1]
* Survival prob is prob of being healthy at exact age x-d
Central claim inception rate ia(x,d):
* Expected number of claim inceptions over year of age [x,x+1] …
* Relative to ave number of lives alive during year of age
* Survival prob is prob of being alive at average age x+1/2
Central claim inception rate ib(x,d):
* Expected number of sickness inceptions over year of age [x,x+1] which become inceptions d years later…
* Relative to ave number of lives alive during year of age
* Survival prob is prob of being alive at average age x+1/2
Explain how you would price CI
Claim incidence rate = i(x) X probability of surviving survival period
Claim incidence rate is of form:
i(x) = i(x){Heart disease}+ i(x){Stroke} + i(x){Cancer} + i(x){Other}
Accelarated CI incidence:
i(x) + (1-k(x))q(x) where k(x) is prop of deaths over [x,x+1] due to CI
How us LTCI priced?
Use multi-state model or inception/annuity methods
Factors to consider when evaluating appropriateness of muti-state modelling
- Amount of data
- Does data have granularity required for the approach?
- Appropriateness of data given changes in economic conditions, benefit definitions, target markets etc
- Time and resources
- Consulting external sources and costs thereof
- Expert judgement where there isn’t credible data
- Spurious accurace
- Accuracy vs risk of having time and data required