A Bayesian Reconstruction of a Historical Population in Finland, 1647-1850




Voutilainen Miikka, Helske Jouni, Hogmander Harri

PublisherSPRINGER

2020

Demography

DEMOGRAPHY

DEMOGRAPHY

57

1171

1192

22

0070-3370

DOIhttps://doi.org/10.1007/s13524-020-00889-1



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.



Last updated on 2024-26-11 at 14:58