Stochastic population projections on an uncertainty for the future Korea

被引:1
|
作者
Oh, Jinho [1 ]
机构
[1] HanBat Natl Univ, Dept Math Sci, 125 Dongseodaero, Daejeon 34158, South Korea
关键词
scenario; deterministic population projection; uncertainty; stochastic population projection; UNITED-STATES; FORECASTS; MORTALITY; FERTILITY;
D O I
10.5351/KJAS.2020.33.2.185
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
引用
收藏
页码:185 / 201
页数:17
相关论文
共 50 条
  • [41] Population uncertainty in model ecosystem: Analysis by stochastic differential equation
    Morita, Satoru
    Tainaka, Kei-ichi
    Nagata, Hiroyasu
    Yoshimura, Jin
    [J]. JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2008, 77 (09)
  • [42] Future projections
    James, N
    [J]. SIGHT AND SOUND, 2006, 16 (02): : 3 - 3
  • [43] STOCHASTIC ALTERNATING PROJECTIONS
    Diaconis, Persi
    Khare, Kshitij
    Saloff-Coste, Laurent
    [J]. ILLINOIS JOURNAL OF MATHEMATICS, 2010, 54 (03) : 963 - 979
  • [44] PROJECTIONS FOR THE FUTURE
    KOPROWSKI, H
    [J]. HYBRIDOMA, 1986, 5 : S185 - S187
  • [45] Producing the Dutch and Belgian mortality projections: a stochastic multi-population standard
    Antonio K.
    Devriendt S.
    de Boer W.
    de Vries R.
    De Waegenaere A.
    Kan H.-K.
    Kromme E.
    Ouburg W.
    Schulteis T.
    Slagter E.
    van der Winden M.
    van Iersel C.
    Vellekoop M.
    [J]. European Actuarial Journal, 2017, 7 (2) : 297 - 336
  • [46] PROSPECTS FOR FERTILITY REDUCTION AND PROJECTIONS FOR FUTURE POPULATION-GROWTH IN KENYA
    WORTHAM, R
    [J]. POPULATION RESEARCH AND POLICY REVIEW, 1995, 14 (01) : 111 - 135
  • [47] Future interstate highway system demands: Predictions based on population projections
    Chi, Guangqing
    Wang, Donghui
    Hagedorn, Annelise DeJong
    [J]. CASE STUDIES ON TRANSPORT POLICY, 2019, 7 (02) : 384 - 394
  • [48] Back to the future: A review of forty years of population projections at Statistics Canada
    Dion, Patrice
    Galbraith, Nora
    [J]. CANADIAN STUDIES IN POPULATION, 2015, 42 (1-2) : 102 - 116
  • [49] Integrating climate change induced flood risk into future population projections
    Evelyn G. Shu
    Jeremy R. Porter
    Mathew E. Hauer
    Sebastian Sandoval Olascoaga
    Jesse Gourevitch
    Bradley Wilson
    Mariah Pope
    David Melecio-Vazquez
    Edward Kearns
    [J]. Nature Communications, 14
  • [50] Integrating climate change induced flood risk into future population projections
    Shu, Evelyn G.
    Porter, Jeremy R.
    Hauer, Mathew E.
    Sandoval Olascoaga, Sebastian
    Gourevitch, Jesse
    Wilson, Bradley
    Pope, Mariah
    Melecio-Vazquez, David
    Kearns, Edward
    [J]. NATURE COMMUNICATIONS, 2023, 14 (01)