Results 11 to 20 of about 1,971,483 (279)

Lee–Carter Mortality Forecasting

open access: yesLithuanian Journal of Statistics, 2012
In this paper, we focus on Lee–Carter mortality forecasting. Model residuals and future mortality trendsare explored. Predictions of the force of mortality for France, Belarus and Lithuania are provided and compared. Severalmodifications of the model are
Eglė Ignatavičiūtė   +2 more
doaj   +4 more sources

Modelo Lee-Carter extendido

open access: yesRect@, 2007
Aunque en la literatura actuarial el conocimiento de la evolución de la mortalidad se remonta a las primeras décadas del siglo XX, solo recientemente los cálculos actuariales han utilizado las tablas de mortalidad proyectadas o dinámicas. En consecuencia,
Montes Suay, Francisco   +2 more
doaj   +1 more source

A Fuzzy-Random Extension of the Lee–Carter Mortality Prediction Model

open access: yesInternational Journal of Computational Intelligence Systems, 2019
The Lee–Carter model is a useful dynamic stochastic model to represent the evolution of central mortality rates throughout time. This model only considers the uncertainty about the coefficient related to the mortality trend over time but not to the age ...
Jorge de Andrés-Sánchez   +1 more
doaj   +3 more sources

Sensitivity and uncertainty in the Lee-Carter mortality model. [PDF]

open access: yesInt J Forecast, 2023
Abstract BACKGROUND The Lee-Carter model (LC) is widely used in research and applications for forecasting age specific mortality, and typically performs well regardless of the uncertainty and often the limited quality of mortality data. OBJECTIVE
Zuo W, Damle A, Tuljapurkar S.
europepmc   +3 more sources

CALIBRATING THE LEE-CARTER AND THE POISSON LEE-CARTER MODELS VIA NEURAL NETWORKS [PDF]

open access: yesASTIN Bulletin, 2021
AbstractThis paper introduces a neural network (NN) approach for fitting the Lee-Carter (LC) and the Poisson Lee-Carter model on multiple populations. We develop some NNs that replicate the structure of the individual LC models and allow their joint fitting by simultaneously analysing the mortality data of all the considered populations.
openaire   +3 more sources

Identification and Forecasting in the Lee-Carter Model [PDF]

open access: yesSSRN Electronic Journal, 2010
We consider the identification problem for the model of Lee and Carter (1992). The parameters of this model are known only to be identified up to certain transformations. Forecasts from the model may therefore depend on the arbitrarily chosen identification scheme. A condition for invariant forecasts is proposed.
Bent Nielsen, J.P. Nielsen
openaire   +3 more sources

Letter from Robert Lee Carter to L. A. Ashley

open access: yes
Letter from Robert Lee Carter to L. A. Ashley stating that Carter has received his telegram.https://mavmatrix.uta.edu/specialcollections_ivorydaviscivilrightscasepapers/1026/thumbnail ...
Carter, Robert Lee
core   +7 more sources

Multiple mortality modeling in Poisson Lee–Carter framework [PDF]

open access: yesCommunications in Statistics - Theory and Methods, 2015
The academic literature in longevity field has recently focused on models for detecting multiple population trends (D'Amato et al., 2012b; Njenga and Sherris, 2011; Russolillo et al., 2011, etc.). In particular, increasing interest has been shown about "related" population dynamics or "parent" populations characterized by similar socioeconomic ...
D'AMATO, Valeria   +4 more
openaire   +8 more sources

A more meaningful parameterization of the Lee–Carter model

open access: yesInsurance: Mathematics and Economics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
de Jong, Piet   +2 more
openaire   +1 more source

A Preliminary Investigation of a Single Shock Impact on Italian Mortality Rates Using STMF Data: A Case Study of COVID-19

open access: yesData, 2023
Mortality shocks, such as pandemics, threaten the consolidated longevity improvements, confirmed in the last decades for the majority of western countries.
Maria Francesca Carfora, Albina Orlando
doaj   +1 more source

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