Author
Listed:
- Colin M. Ramsay
- Victor I. Oguledo
Abstract
The relatively small size of global voluntary immediate life annuity markets seemingly contradicts a well-known result that, under certain conditions, utility-maximizing retirees should annuitize all of their wealth upon retirement. This apparent contradiction contributes to what is called the “annuity puzzle.” The main explanations for the annuity puzzle include adverse selection, bequest motives, and retirees’ fear of health shocks that may require them to need long-term care. To explore a potential solution to this puzzle in the U.S. annuity market, we consider a cohort of retirees who are independent and identical except for a hidden immutable health parameter, θ>0, that identifies the retiree’s risk type. We assume that the “average” or “standard” retiree has θ = 1, with larger values of θ denoting less healthy individuals. Because private insurers fear that annuitants may live well beyond their life expectancy—that is, they fear adverse selection—voluntary immediate life annuities are generally priced in a manner that makes them attractive mainly to retirees who believe themselves to be healthier than average. These retirees, however, typically represent a small fraction of their cohort of retirees. To expand annuity markets, we are proposing a hybrid voluntary fixed immediate annuity product called a doubly enhanced annuity (DEAN), which we feel will be attractive to the larger retiree population; that is, retirees with θ>1. DEANs are medically underwritten to provide greater annual benefits to annuitants with shorter than average life expectancies, they provide long-term care benefits, and they satisfy a bequest motive through a death benefit. Our underlying model of retiree mortality and morbidity is based on a multi-state Markov process with states representing various levels of an insured retiree’s ability to perform activities of daily living (ADL). A major contribution of our research is to explicitly include in our multi-state Markov model a parameter, α, that reflects the level of quality of long-term care a retiree receives over her lifetime. Our main objectives are to develop a theoretical basis for pricing DEANs for the U.S. market, to determine a retiree’s expected discounted utility gained from these annuities, to determine the optimal choice of quality of care, and to explore some of the quality of life implications. A numerical example is provided.
Suggested Citation
Colin M. Ramsay & Victor I. Oguledo, 2020.
"Doubly Enhanced Annuities (DEANs) and the Impact of Quality of Long-Term Care under a Multi-State Model of Activities of Daily Living (ADL),"
North American Actuarial Journal, Taylor & Francis Journals, vol. 24(1), pages 57-99, January.
Handle:
RePEc:taf:uaajxx:v:24:y:2020:i:1:p:57-99
DOI: 10.1080/10920277.2019.1598270
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Chen, An & Fuino, Michel & Sehner, Thorsten & Wagner, Joël, 2022.
"Valuation of long-term care options embedded in life annuities,"
Annals of Actuarial Science, Cambridge University Press, vol. 16(1), pages 68-94, March.
- Chen, An & Chen, Yusha & Xu, Xian, 2022.
"Care-dependent tontines,"
Insurance: Mathematics and Economics, Elsevier, vol. 106(C), pages 69-89.
- Nurin Haniah Asmuni & Ken Seng Tan & Sachi Purcal, 2022.
"The Impact of Health Impairment on Optimal Annuitization for Retirees,"
Risks, MDPI, vol. 10(4), pages 1-21, April.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:uaajxx:v:24:y:2020:i:1:p:57-99. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uaaj .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.