Literature DB >> 25324591

Bayesian Population Projections for the United Nations.

Adrian E Raftery1, Leontine Alkema2, Patrick Gerland3.   

Abstract

The United Nations regularly publishes projections of the populations of all the world's countries broken down by age and sex. These projections are the de facto standard and are widely used by international organizations, governments and researchers. Like almost all other population projections, they are produced using the standard deterministic cohort-component projection method and do not yield statements of uncertainty. We describe a Bayesian method for producing probabilistic population projections for most countries that the United Nations could use. It has at its core Bayesian hierarchical models for the total fertility rate and life expectancy at birth. We illustrate the method and show how it can be extended to address concerns about the UN's current assumptions about the long-term distribution of fertility. The method is implemented in the R packages bayesTFR, bayesLife, bayesPop and bayesDem.

Entities:  

Keywords:  Bayesian hierarchical model; Leslie matrix; cohort component projection method; double logistic function; life expectancy; total fertility rate

Year:  2014        PMID: 25324591      PMCID: PMC4196216          DOI: 10.1214/13-STS419

Source DB:  PubMed          Journal:  Stat Sci        ISSN: 0883-4237            Impact factor:   2.901


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