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• W3033389612 abstract "Abstract This article provides a novel method for estimating historical population development. We review the previous literature on historical population time-series estimates and propose a general outline to address the well-known methodological problems. We use a Bayesian hierarchical time-series model that allows us to integrate the parish-level data set and prior population information in a coherent manner. The procedure provides us with model-based posterior intervals for the final population estimates. We demonstrate its applicability by estimating the long-term development of Finland’s population from 1647 onward and simultaneously place the country among the very few to have an annual population series of such length available." @default.
• W3033389612 created "2020-06-12" @default.
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• W3033389612 date "2020-06-01" @default.
• W3033389612 modified "2023-10-10" @default.
• W3033389612 title "A Bayesian Reconstruction of a Historical Population in Finland, 1647–1850" @default.
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• W3033389612 doi "https://doi.org/10.1007/s13524-020-00889-1" @default.
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