Probabilistic forecasting using stochastic diffusion models, with applications to cohort processes of marriage and fertility.
In this article, we show how stochastic diffusion models can be used to forecast demographic cohort processes using the Hernes, Gompertz, and logistic models. Such models have been used deterministically in the past, but both behavioral theory and forecast utility are improved by introducing randomn...
| Publicado en: | Demography (Springer Nature) Vol. 50; no. 1; pp. 237 - 261 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2013
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| Acceso en línea: | Ver este registro en EBSCOhost |