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http://dx.doi.org/10.5351/KJAS.2020.33.2.185

Stochastic population projections on an uncertainty for the future Korea  

Oh, Jinho (Department Mathematical Sciences, HanBat National University)
Publication Information
The Korean Journal of Applied Statistics / v.33, no.2, 2020 , pp. 185-201 More about this Journal
Abstract
Scenario population projection reflects the high probability of future realization and ease of statistical interpretation. Statistics Korea (2019) also presents the results of 30 combinations, including special scenarios, as official statistics. However, deterministic population projections provide limited information about future uncertainties with several limitations that are not probabilistic. The deterministic population projections are scenario-based estimates and show a perfect autocorrelation of three factors (birth, death, movement) of population variation over time. Therefore, international organizations UN, the Max Planck Population Research Institute (MPIDR) of Germany and the Vienna Population Research Institute (VID) of Austria have suggested stochastic based population estimates. In addition, some National Statistics Offices have also adopted this method to provide information along with the scenario results. This paper calculates the demographics of Korea based on a probabilistic or stochastic basis and then draws the pros and cons and show implications of the scenario (deterministic) population projections.
Keywords
scenario; deterministic population projection; uncertainty; stochastic population projection;
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