Results 261 to 270 of about 560,959 (297)

Real-world cost evaluation of conbercept vs. ranibizumab for retinal and choroidal vascular diseases from 2021 to 2024: evidence from societal and medical insurance perspectives. [PDF]

open access: yesBMC Public Health
Liu Y   +12 more
europepmc   +1 more source

The demand for life insurance in a heterogeneous-agent life cycle economy with joint decisions

GENEVA Risk and Insurance Review, 2019
A life cycle model is developed to explain how and why life insurance demand of household participants varies and to further explore risk sharing effects within a household. The model includes endogenous labor supply and joint decisions of life insurance demand for men and women, and generates consumption with a sudden drop around retirement and hump ...
Ning Wang
exaly   +2 more sources

The Joint Determination of Marginal Rate of Return and Interest Adjusted Cost for Whole Life Insurance

Management Science, 1983
Linear programming is applied to measurement of whole life insurance to obtain a functional relationship between interest adjusted cost of insurance protection and rate of return on policy equity. For comparative purposes, policy differences related to premium rates, dividends and cash-values are controlled by maintaining identical insurance ...
exaly   +3 more sources

Calculations about premiums of joint life insurance under dependent conditions

The 2nd International Conference on Information Science and Engineering, 2010
Das, S (2003) found the method to calculate the pure premium of joint life insurance, which means when we suppose the life is independent, using actuary theory we can have the calculating results. In some practical problems, this result is useful. However, the lives are dependence in the real world.
exaly   +2 more sources

An investigation about joint life policy's premium using Copula; The Case study of an insurance company in Iran

Asian Journal of Research in Business Economics and Management, 2014
A copula is a function that links univariate marginal's to their full multivariate distribution. Copulas were introduced in 1959 in the context of probabilistic metric spaces. Copula models are becoming increasingly popular for modeling dependencies between random variables.
Ghodratollah Emamverdi   +3 more
exaly   +2 more sources

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