Results 21 to 30 of about 110,162 (294)

Forecasting multiple functional time series in a group structure: an application to mortality’ [PDF]

open access: yes, 2020
When modeling sub-national mortality rates, we should consider three features: (1) how to incorporate any possible correlation among sub-populations to potentially improve forecast accuracy through multi-population joint modeling; (2) how to reconcile ...
Haberman, S., Shang, H.L.
core   +2 more sources

Markov-Switching Bayesian Vector Autoregression Model in Mortality Forecasting

open access: yesRisks, 2023
We apply a Markov-switching Bayesian vector autoregression (MSBVAR) model to mortality forecasting. MSBVAR has not previously been applied in this context, and our results show that it is a promising tool for mortality forecasting. Our model shows better
Wanying Fu   +3 more
doaj   +1 more source

Forecasting China's mortality

open access: yesPopulation Review, 2013
China's life expectancy at birth is currently being debated; the 2010 census data may exaggerate the figure and its rate of increase. In this paper, with an extension of the Lee-Carter method for limited data, we use China's 1982, 1990 and 2000 censuses to forecast the mortality pattern and life expectancy for the 2000 to 2030 period.
Jiang, Quanbao   +2 more
openaire   +3 more sources

A Two-Population Extension of the Exponential Smoothing State Space Model with a Smoothing Penalisation Scheme

open access: yesRisks, 2020
The joint modelling of mortality rates for multiple populations has gained increasing popularity in areas such as government planning and insurance pricing.
Yanlin Shi, Sixian Tang, Jackie Li
doaj   +1 more source

Evaluating the Performance of Variants of the Lee-Carter Method for Mortality Forecasting in the Population Projection of the Czech Republic from the Czech Statistical Office 2023–2100

open access: yesDemografie
This article discusses the use of the Lee-Carter model, one of the most widely used methods for mortality forecasting. It also discusses its modified versions, namely the cohort and coherent variants, which were developed to improve the forecast accuracy
David Morávek
doaj   +1 more source

Mortality Index Simulation for Forecasting Malaysian Mortality Rates

open access: yesASM Science Journal, 2023
Mortality studies are very important in demography and actuarial areas because they assist policymakers and life insurers in managing longevity and mortality risks. In recent decades, many extrapolative mortality models have been developed following the Lee-Carter model.
Pavitra Sivasundaram   +2 more
openaire   +1 more source

Multivariate functional time series forecasting: Application to age-specific mortality rates [PDF]

open access: yes, 2017
This study considers the forecasting of mortality rates in multiple populations. We propose a model that combines mortality forecasting and functional data analysis (FDA).
Gao, Yuan, Shang, Han Lin
core   +1 more source

Mortality density forecasts: An analysis of six stochastic mortality models [PDF]

open access: yesInsurance: Mathematics and Economics, 2008
Abstract This paper develops a framework for developing forecasts of future mortality rates. We discuss the suitability of six stochastic mortality models for forecasting future mortality and estimating the density of mortality rates at different ages.
Andrew J. G. Cairns   +5 more
openaire   +1 more source

Effect of air pollution on the global burden of cardiovascular diseases and forecasting future trends of the related metrics: a systematic analysis from the Global Burden of Disease Study 2021

open access: yesFrontiers in Medicine
BackgroundThis study assesses the worldwide cardiovascular disease (CVD) burden attributed to air pollution, utilizing data from the Global Burden of Disease Study 2021.MethodsWe explored the impact of air pollution on CVDs globally, regionally, and ...
Qingsong Mao   +3 more
doaj   +1 more source

Two-Population Mortality Forecasting: An Approach Based on Model Averaging

open access: yesRisks
The analysis of residual life expectancy evolution at retirement age holds great importance for life insurers and pension schemes. Over the last 30 years, numerous models for forecasting mortality have been introduced, and those that allow us to predict ...
Luca De Mori   +3 more
doaj   +1 more source

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