Reconstruction of populations by stochastic optimization: Sensitivity analysis
Noël Bonneuil
Mathematical Population Studies, 2017, vol. 24, issue 3, 181-189
Abstract:
The reconstruction of populations by stochastic optimization solves the nontrivial problem of finding demographic flows from population registers or vital statistics and censuses, if available. These flows allow the reconstruction of stocks (age pyramids and vital statistics). After a review of reconstruction methods, the sensitivity analysis shows the robustness of the method by stochastic optimization to flawed or missing values, to the length of the reconstruction period, and to variations in the actual demographic flows.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:taf:mpopst:v:24:y:2017:i:3:p:181-189
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DOI: 10.1080/08898480.2017.1330014
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Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino
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