@misc{10481/70926,
year = {2021},
url = {http://hdl.handle.net/10481/70926},
abstract = {In this paper, we apply and further illustrate a recently developed extended continuous
chain ladder model to forecast mesothelioma deaths. Making such a forecast has always been a
challenge for insurance companies as exposure is difficult or impossible to measure, and the latency
of the disease usually lasts several decades. While we compare three approaches to this problem,
we show that the extended continuous chain ladder model is a promising benchmark candidate
for asbestosis mortality forecasting due to its flexible and simple forecasting strategy. Furthermore,
we demonstrate how the model can be used to provide an update for the forecast of the number of
deaths due to mesothelioma in Great Britain using in recent Health and Safety Executive (HSE) data.},
organization = {Spanish Ministry of
Economy and Competitiveness, through grant numbers MTM2016-76969P and PID2020-116587GBI00},
organization = {European Regional Development Fund (ERDF).},
publisher = {MDPI},
keywords = {Continuous chain ladder},
keywords = {Age-period-cohort model},
keywords = {Backfitting},
keywords = {Density estimation},
keywords = {Kernel smoothing},
title = {Calendar Effect and In-Sample Forecasting Applied to Mesothelioma Mortality Data},
doi = {10.3390/math9182260},
author = {Isakson, Alex and Krummaker, Simone and Martínez Miranda, María Dolores and Rickayzen, Ben},
}