A fantastic article and resource:
‘Multistate life tables using Stata’ Jerônimo Oliveira Muniz
The Stata Journal, September 2020
https://journals.sagepub.com/doi/10.1177/1536867X20953577
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A fantastic resource and article, both to calculate multi-state life table functions, and also for learning about them (incl article sections 2 and 3):
https://journals.sagepub.com/doi/10.1177/1536867X20953577
#Demography #PopMastodon
#AppliedDemogToolbox

A fantastic resource and article, both to calculate multi-state life table functions, and also for learning about them (incl article sections 2 and 3 - such great writing and info):
https://journals.sagepub.com/doi/10.1177/1536867X20953577
#Demography #PopMastodon
#AppliedDemogToolbox

Also updated links and info, including for
Germán Rodríguez' Demographic Methods Course Materials
https://applieddemogtoolbox.github.io/#DemogCourse
and Shyrock and Siegel's Methods and Materials of Demography https://applieddemogtoolbox.github.io/#MethodsAndMaterials
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Added some neat and useful links to the Applied Demography Toolbox list:
The US Census Bureau's Proximate Determinants of Fertility Estimation Tool https://applieddemogtoolbox.github.io/#fertdet
Damien Forthomme's ipfn
https://applieddemogtoolbox.github.io/#ipfn
And the US Census Bureau's Global Population Mapping and Spatial Analysis Products https://applieddemogtoolbox.github.io/#CensusGlobalPop
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Just following the setup I made last year with UN WPP data input (https://shiny.demog.berkeley.edu/eddieh/CCRUnc_UNWPP2022/), I added the option to "sample from listed periods" to the cohort-change ratio-based stochastic county pop proj setup: https://shiny.demog.berkeley.edu/eddieh/CCRUnc/
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https://github.com/facebookresearch/balance
A new/recent Python package for managing biased data samples.
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'Probabilistic population forecasting: Short to very long-term' (a neat recently-published open-access article by Raftery and Ševčíková)
https://www.sciencedirect.com/science/article/pii/S0169207021001394
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https://youtube.com/watch?v=jvPPXbo87ds
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