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A Probabilistic Cohort-Component Model for Population Forecasting – The Case of Germany · Study

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ArticleA Probabilistic Cohort-Component Model for Population Forecasting – The Case of Germany

Patrizio Vanella2020

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Articlegreen2020

A Probabilistic Cohort-Component Model for Population Forecasting – The Case of Germany

Patrizio Vanella · Philipp Deschermeier

25 citations·0/0 files stored·Journal of Population Ageing

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Insurance, Mortality, Demography, Risk Management Social and Demographic Issues in Germany demographic modeling and climate adaptation

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References

1979Distribution of the Estimators for Autoregressive Time Series With a Unit Root 1992Modeling and Forecasting U. S. Mortality 2006Robust forecasting of mortality and fertility rates: A functional data approach 1997Family Benefits and Fertility: An Econometric Analysis 2006Demographic forecasting: 1980 to 2005 in review 2012Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models 2006Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions 2011Probabilistic Projections of the Total Fertility Rate for All Countries

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2020The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China

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Year2020

Typearticle

Published2020-01-02

VenueJournal of Population Ageing

ISSN-L1874-7876

Languageen

Citations25

Files0 public / 0

ShelfInsurance, Mortality, Demography, Risk Management

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doi10.1007/s12062-019-09258-2

openalex_workW2803796536

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