6533b7d4fe1ef96bd1263226
RESEARCH PRODUCT
An NDC approach to helping pensioners cope with the cost of long-term care
Carlos Vidal-meliáJavier Pla-porcelManuel Ventura-marcosubject
AttractivenessOrganizational Behavior and Human Resource ManagementEconomics and EconometricsStrategy and ManagementPay as you gomedia_common.quotation_subjectOverlapping generations model01 natural sciencesIndustrial and Manufacturing EngineeringSocial insurance010104 statistics & probabilityEconomics050602 political science & public administration0101 mathematicsLong-term care insuranceNotional amountFunction (engineering)media_commonPensionActuarial scienceMechanical Engineering05 social sciencesMetals and Alloys0506 political scienceSocial securityLong-term careBusinessFinancedescription
The aim of this paper is to analyse whether it would be possible to provide retirement and long-term care benefits using the same unfunded notional defined contribution scheme. We extend the multi-state overlapping generations model developed by Pla-Porcel et al. (2016) to include two new features: a long-term care benefit graded according to the annuitant's degree of disability and a minimum pension benefit for both contingencies. This brings the model closer to the reality of social insurance and enhances its political attractiveness. The paper contains a numerical example to show how the model functions and focuses especially on the mortality rates for dependent persons, the inception rates from a healthy state to (any) disability state, and the probabilities of transition between one health status and another. The numerical example proves that the model works reasonably well and makes it clear that it has practical implications that could be of interest to policy makers. It also provides us with some useful values regarding the impact of introducing a minimum pension on the system's financial equilibrium and reinforces the fact that biometric assumptions need to be estimated accurately before any decision is made to put the model into practice.
year | journal | country | edition | language |
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2018-04-02 | Journal of Pension Economics and Finance |