Pricing long term care insurance contracts

B. Levikson, G. Mizrahi

Research output: Contribution to journalArticlepeer-review


Insurance companies are faced with the problem of pricing Long Term Care (LTC) insurance contracts. An LTC contract provides the insured benefits should he become in need of care. We consider several models describing the changes in the needs, of the insured, for care over time. Some models are more conservative than others, some are based on ADL's and one model assumes alternating periods of activity and disability. A quite general Markovian multistate model is also analyzed. A basic concept needed for pricing LTC contracts is the r.v. Discounted Value of Future Benefits (DVFB). Using the expected DVFB, termed elsewhere net single premium, we find the annual premiums for all the models. The methods used to price the contracts include Markov chain analysis, potential theoretic approach, backward induction and Bellman's equation of dynamic programming.

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalInsurance: Mathematics and Economics
Issue number1
StatePublished - Apr 1994


  • Dynamic programming
  • LTC coverage
  • Markov chains models
  • Pricing LTC insurance

ASJC Scopus subject areas

  • Statistics and Probability
  • Economics and Econometrics
  • Statistics, Probability and Uncertainty


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