Modelling stochastic mortality for dependent lives
نویسندگان
چکیده
منابع مشابه
A Parsimonious Approach to Stochastic Mortality Modelling with Dependent Residuals
A standard approach to the fitting of stochastic mortality models is to maximise a likelihood function underpinned by an assumption that deaths follow a conditionally independent Poisson distribution. This, in turn, has led researchers to develop increasingly complex models in an effort to improve in-sample explanatory power. This paper, using the Cairns-BlakeDowd (CBD) model as an example, pro...
متن کاملBayesian Stochastic Mortality Modelling for Two Populations
The paper introduces a new framework for modelling the joint development over time of mortality rates in a pair of related populations by combining a number of recent and novel developments in stochastic mortality modelling. First, we develop an underlying stochastic model which incorporates a mean-reverting stochastic spread that allows for different trends in mortality improvement rates in th...
متن کاملModelling stillbirth mortality reduction with the Lives Saved Tool
BACKGROUND The worldwide burden of stillbirths is large, with an estimated 2.6 million babies stillborn in 2015 including 1.3 million dying during labour. The Every Newborn Action Plan set a stillbirth target of ≤12 per 1000 in all countries by 2030. Planning tools will be essential as countries set policy and plan investment to scale up interventions to meet this target. This paper summarises ...
متن کاملA user-friendly approach to stochastic mortality modelling
This paper proposes a general approach to stochastic mortality modelling, where the logit transforms of annual survival probabilities in different age groups are modelled by linear combinations of user-specified basis functions. The flexible construction allows for an easy incorporation of populationspecific characteristics and user preferences into the model. Moreover, the structure enables th...
متن کاملSmall population bias and sampling effects in stochastic mortality modelling
We propose the use of parametric bootstrap methods to investigate the finite sample distribution of the maximum likelihood estimator for the parameter vector of a stochastic mortality model. Particular emphasis is placed on the effect that the size of the underlying population has on the distribution of the MLE in finite samples, and on the dependency structure of the resulting estimator: that ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Insurance: Mathematics and Economics
سال: 2008
ISSN: 0167-6687
DOI: 10.1016/j.insmatheco.2008.06.005