Tag: Reinsurance News

Trends in Life Insurance 2022: How the Industry Has Changed

Mary Pat Campbell

Link: https://www.soa.org/sections/reinsurance/reinsurance-newsletter/2022/april/rsn-2022-04-gambhir/

Graphic:

Excerpt:

Growing popularity in no-medical-exam life insurance products has had one expected outcome: More life insurance policies with accelerated underwriting options available in the marketplace. For example, Policygenius offered just three accelerated underwriting options in 2020. In 2021, that number more than doubled to seven, and more options will likely be available in 2022.

Additionally, while such policies had historically only been available to applicants who were young and in good health, the competitive market has prompted more widespread availability. Now, applicants across all health classes can get no-medical-exam policies.

While no-medical-exam policies tend to be about the same cost as fully underwritten policies, applicants tend to favor them even when they are more expensive due to the convenience and expedited turnaround time.

Author(s): Nupur Gambhir

Publication Date: April 2022

Publication Site: Reinsurance News, SOA

Rational Ignorance and the Protection Gap: Is There a Cure?

Mary Pat Campbell

Link: https://www.soa.org/sections/reinsurance/reinsurance-newsletter/2021/march/rsn-2021-03-poon-affat/

Excerpt:

The phrase “coverage gap,” heard often from life insurance company executives, is defined as  “the shortfall in the amount of life insurance cover necessary to maintain the current living standards of dependents.” Life insurance companies devote extraordinary amounts of time, effort, and expense trying to educate underinsured individuals about the need to protect themselves and their families from this gap by buying more cover. Could our industry not be addressing one of the key issues leading to the lack of consumer enthusiasm for our products?

Here’s the issue: insurance products and contracts are not consumer-friendly. To the average person, life and living benefits products are at least as byzantine as Brazil’s political system, and the language of insurance contracts could almost be considered an actual dialect. Insurance is thus fertile ground for the manifestation of rational ignorance among potential customers, who are already known to be more likely to pay attention to information about it if it comes from friends and social media posts. (I pity the buyer researching concepts and options such as pure protection, accumulation, critical illness, disability income, or long-term care.)

Author(s): Ronald Poon-Affat

Publication Date: March 2021

Publication Site: Reinsurance News at the Society of Actuaries

Who Gets to Live to 100 and Who Doesn’t? Reviewing the 2020 Living to 100 Symposium Monograph

Mary Pat Campbell

Link: https://www.soa.org/sections/reinsurance/reinsurance-newsletter/2021/march/rsn-2021-03-kaufhold/

Excerpt:

Given these advances in understanding the theoretical methods of evaluating multiple, related mortality data sets, it is particularly promising that the Human Mortality Database, with the SOA’s sponsorship, has recently made available mortality data for the United States at the level of the individual county. Moreover, Professor Magali Barbieri of University of California, Berkeley in January 2021 published an SOA Research Report[3] on “Mortality by Socio-economic Category in the United States” using this data series. Professor Barbieri is one of the directors of the HMD project, which is jointly run by UC Berkeley and the Max Planck Institute for Demographic Research in Rostock, Germany and support from the Center on the Economics and Development of Aging (CEDA) and the French Institute for Demographic Studies (INED). In her paper, Barbieri studies socio-economic differences linked to mortality differentials by county, based on information available at the county level regarding education, occupation, employment, income, and housing. The gap between the highest and lowest county decile is huge and growing. In 2018, the qx-rate for 45-year-old men in counties with the lowest Socioeconomic Index Score (SIS) was 2.5 times that for men of that age in counties with the highest SIS. This gap is even greater than the difference between smokers and non-smokers. Professor Barbieri’s report shows the widening trend between the different socio-economic strata which she captures by grouping the counties into deciles by SIS. While the highest SIS score is associated with a life expectancy that matches or even beats the OECD average, people living in counties with the lowest SIS have hardly seen any improvement in their life expectancy over the last four decades. Comparing the average life expectancy at birth within the highest decile of counties to the lowest, there was a gap of 3.0 years in 1982, the first year for which consistent data was available. This gap has more than doubled since then, rolling in at 6.6 years difference in life expectancy in 2018. That is an increase of 120 percent. Worse still, the gender gap once again manifests itself in the mortality trends, with females showing an increase of the socio-economic mortality gap of 260 percent over the 36-year period, compared to 76 percent for males.

Author(s): Kai Kaufhold

Publication Date: March 2021

Publication Site: Reinsurance News at the Society of Actuaries