Product Pricing and Solvency Capital Requirements for Long

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SYNOPSIS
PRODUCT PRICING AND SOLVENCY CAPITAL REQUIREMENTS FOR LONG-TERM CARE INSURANCE
Adam Wenqiang Shao, Michael Sherris, and Joelle H. Fong
Key words: Long-term care insurance, Solvency II, solvency capital requirements
Purpose of your paper: This paper presents a comprehensive assessment of premiums, reserves and
solvency capital requirements for long-term care (LTC) insurance policies using Activities of Daily
Living (ADLs) and U.S. data. We compare stand-alone policies, rider benefit policies (long-term care
insurance combined with whole life insurance), life care annuities (long-term care insurance
combined with annuities), and shared long-term care insurance in terms of premium cost and
solvency capital requirements. Premiums and best-estimate reserves for generic long-term care
insurance policies are determined using Thiele's differential equation. Product features such as the
elimination period and the maximum benefit period are compared using a simulation-based model.
Solvency capital requirements for longevity risk and disability risk are based on the Solvency II
standard formula. We quantify the extent to which rider benefit policies and life care annuities
provide lower solvency capital requirements than stand-alone LTC insurance policies. We show how
a maximum benefit period can reduce costs and risks for LTC insurance products.
Synopsis:
1. Background
Long-term care costs have shown a significant increase over recent decades and the increasing
trend is projected to continue in future (e.g., Congressional Budget Office, 2004; Productivity
Commission of Australia, 2013). Long-term care expenses are significantly higher if the insured moves
into long-term care facilities (Fong et al., 2012). The primary funding for long-term care costs in
Australia is the lifetime stop-loss mechanism funded through the pay-as-you-go tax (Productivity
Commission of Australia, 2011, 2013).
Recent discussions in Australia and many other countries have focused on developing the private
long-term care insurance market as an important supplement for public funding sources (see e.g.,
Colombo et al., 2011; Glendinning et al., 2004; Productivity Commission of Australia, 2011, 2013).
Though the private insurance is an important source, the share of the private market is small. In the
U.S., only 4% of long-term care costs are reimbursed from private insurance (Brown and Finkelstein,
2008). Motivated by the small share of private long-term care insurance, Brown and Finkelstein (2008)
investigate the interaction of the public Medicaid program and private long-term care insurance.
They find that Medicaid has a very large crowd-out effect due to the implicit tax imposed on the
benefits of private long-term care insurance.
2. Long-Term Care Insurance
A long-term care insurance policy entitles the insured to receive benefits when the insured becomes
functionally disabled according to the definition pre-specified in the policy (Haberman and Pitacco,
1999). Long-term care insurance policies, however, do not have a uniform definition for the benefit
eligibility in the market. The most frequently used criteria for defining functional disability in long-term
care insurance are the number of Activities of Daily Livings (ADLs) that individuals cannot perform
independently and cognitive impairment (Haberman and Renshaw, 1996; Murtaugh et al., 2001;
Pritchard, 2006). The Australian Bureau of Statistics defines individuals' functional disability based on
the Core Activity Restrictions (CARs) that can be linked to scales of ADLs (Leung, 2006). We focus on
ADLs as the basis for a private LTC insurance contract.
A stand-alone policy pays out the predetermined benefit when the insured becomes functionally
disabled. In practice LTC policies can be combined with other forms of insurance. Long-term care
cover included as a rider benefit in a whole life insurance policy, referred to as the rider benefit
policy, is a financial product that allows the insured to draw the death benefit for long-term care
costs before death (Haberman and Pitacco, 1999). Long-term care insurance can also be combined
with annuities, which is usually referred to as the life care annuity (Brown and Warshawsky, 2013;
Murtaugh et al., 2001; Warshawsky, 2007). The life care annuity reduces the adverse selection
problem by pooling annuitants who are vulnerable to longevity risk and long-term care insurance
policyholders who are vulnerable to disability risk (Murtaugh et al., 2001). This risk pooling of the life
care annuity provides a natural hedge and therefore reduces insurance premiums (Murtaugh et al.,
2001; Warshawsky, 2007).
Insurers usually include an elimination period and a maximum benefit period in the product. The
elimination period is the required minimum number of consecutive payment periods before the
insured becomes eligible for benefits. The maximum benefit period is the maximum periods of
payment that the insured can possibly receive. A generic long-term care insurance in this paper
refers to a long-term care insurance policy with an elimination period of zero and an unlimited
maximum benefit period.
3. Key Results
This paper has assessed premiums, best-estimate reserves and solvency capital requirements for a
broad range of long-term care insurance policies sold to individuals in different health states. Thiele's
differential equation approach and a simulation-based method are applied to a range of policy
designs. Long-term care insurance policies considered are stand-alone policies, rider benefit policies
(long-term care insurance combined with whole life insurance), life care annuities (long-term care
insurance combined with annuities), and shared long-term care insurance.
Policies providing reasonable levels of fixed benefits are relatively affordable for healthy lives.
Whereas premiums of stand-alone policies are very high for disabled and older individuals, in
particular for those who are severely disabled, life care annuities that combine long-term care
insurance and annuities are more affordable for disabled and older individuals as well as for healthy
lives. Policy design can be used to enhance the insurability of long-term care expenses for individuals
with impaired health.
The simulation-based approach is required to assess premiums and reserves for policies with different
combinations of elimination periods and maximum benefit periods. This also allows the distributional
measures of future liabilities, such as the VaR, to be estimated. The elimination period and maximum
benefit period are shown to be effective in making a LTC product more affordable. The maximum
benefit period is effective in reducing idiosyncratic risk arising from reduced numbers of policies at
the older ages.
The Solvency II standard formula framework shows that solvency capital requirements are high for
long-term care insurance taking into account both longevity risk and disability risk. Stand-alone
policies issued to the more disabled require less capital per unit premium compared to healthy lives.
Interestingly rider benefit policies and life care annuities show substantial reductions in the required
capital per premium compared to stand-alone long-term care insurance reinforcing the potential
benefits of these products.
We have provided a thorough analysis of premiums, reserves and capital of LTC polices. We have
used US individual data to provide mortality and disability assumptions to allow a realistic assessment.
The analysis presented provides valuable insights into the product design of more affordable
products and an analysis of the solvency risks faced by long-term care insurance providers.
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