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Probabilistic projection of subnational total fertility rates.


ABSTRACT: BACKGROUND:We consider the problem of probabilistic projection of the total fertility rate (TFR) for subnational regions. OBJECTIVE:We seek a method that is consistent with the UN's recently adopted Bayesian method for probabilistic TFR projections for all countries and works well for all countries. METHODS:We assess various possible methods using subnational TFR data for 47 countries. RESULTS:We find that the method that performs best in terms of out-of-sample predictive performance and also in terms of reproducing the within-country correlation in TFR is a method that scales each national trajectory from the national predictive posterior distribution by a region-specific scale factor that is allowed to vary slowly over time. CONCLUSIONS:Probabilistic projections of TFR for subnational units are best produced by scaling the national projection by a slowly time-varying region-specific scale factor. This supports the hypothesis of Watkins (1990, 1991) that within-country TFR converges over time in response to country-specific factors, and thus extends the Watkins hypothesis to the last 50 years and to a much wider range of countries around the world. CONTRIBUTION:We have developed a new method for probabilistic projection of subnational TFR that works well and outperforms other methods. This also sheds light on the extent to which within-country TFR converges over time.

SUBMITTER: Sevcikova H 

PROVIDER: S-EPMC6961957 | biostudies-literature | 2018 Jan-Jun

REPOSITORIES: biostudies-literature

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Probabilistic projection of subnational total fertility rates.

Ševčíková Hana H   Raftery Adrian E AE   Gerland Patrick P  

Demographic research 20180101


<h4>Background</h4>We consider the problem of probabilistic projection of the total fertility rate (TFR) for subnational regions.<h4>Objective</h4>We seek a method that is consistent with the UN's recently adopted Bayesian method for probabilistic TFR projections for all countries and works well for all countries.<h4>Methods</h4>We assess various possible methods using subnational TFR data for 47 countries.<h4>Results</h4>We find that the method that performs best in terms of out-of-sample predi  ...[more]

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