Simplicity and complexity in extrapolatwe population forecasting models

DOI10.1080/08898489509525404zbMath0876.92031OpenAlexW1967108003MaRDI QIDQ4353451

Robert McNown, Jani S. Little, Andrei Rogers

Publication date: 11 September 1997

Published in: Mathematical Population Studies (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/08898489509525404

zbMATH Keywords

demographytime seriescohort-componentspopulation forecasting

Mathematics Subject Classification ID

Mathematical geography and demography (91D20)

Related Items (1)

Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions

Cites Work

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• Choice of function for mortality analysis: Effective forecasting depends on a minimum parameter representation
• Forecasting Births in Post-Transition Populations: Stochastic Renewal with Serially Correlated Fertility
• Parameterizing age patterns of demographic rates with the multiexponential model schedule∗
• Joint Forecasts of U.S. Marital Fertility, Nuptiality, Births, and Marriages Using Time Series Models
• Some Stochastic Versions of the Matrix Model for Population Dynamics

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