Literature DB >> 26949283

Letter to the Editor: Probabilistic population forecasts for informed decision making.

Jakub Bijak1, Isabel Alberts2, Juha Alho3, John Bryant4, Thomas Buettner5, Jane Falkingham1, Jonathan J Forster1, Patrick Gerland6, Thomas King7, Luca Onorante8, Nico Keilman9, Anthony O'Hagan10, Darragh Owens11, Adrian Raftery12, Hana Ševčíková12, Peter W F Smith1.   

Abstract

Demographic forecasts are inherently uncertain. Nevertheless, an appropriate description of this uncertainty is a key underpinning of informed decision making. In recent decades various methods have been developed to describe the uncertainty of future populations and their structures, but the uptake of such tools amongst the practitioners of official population statistics has been lagging behind. In this letter we revisit the arguments for the practical uses of uncertainty assessments in official population forecasts, and address their implications for decision making. We discuss essential challenges, both for the forecasters and forecast users, and make recommendations for the official statistics community.

Entities:  

Year:  2015        PMID: 26949283      PMCID: PMC4776760          DOI: 10.1515/jos-2015-0033

Source DB:  PubMed          Journal:  J Off Stat        ISSN: 0282-423X            Impact factor:   0.920


  5 in total

1.  Stochastic population forecasts and their uses.

Authors:  S Tuljapurkar
Journal:  Int J Forecast       Date:  1992-11

2.  On future population.

Authors:  N Keyfitz
Journal:  J Am Stat Assoc       Date:  1972-06       Impact factor: 5.033

Review 3.  Visualizing uncertainty about the future.

Authors:  David Spiegelhalter; Mike Pearson; Ian Short
Journal:  Science       Date:  2011-09-09       Impact factor: 47.728

4.  Bayesian probabilistic population projections for all countries.

Authors:  Adrian E Raftery; Nan Li; Hana Ševčíková; Patrick Gerland; Gerhard K Heilig
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

5.  World population stabilization unlikely this century.

Authors:  Patrick Gerland; Adrian E Raftery; Hana Sevčíková; Nan Li; Danan Gu; Thomas Spoorenberg; Leontine Alkema; Bailey K Fosdick; Jennifer Chunn; Nevena Lalic; Guiomar Bay; Thomas Buettner; Gerhard K Heilig; John Wilmoth
Journal:  Science       Date:  2014-09-18       Impact factor: 47.728

  5 in total
  2 in total

Review 1.  Bayesian demography 250 years after Bayes.

Authors:  Jakub Bijak; John Bryant
Journal:  Popul Stud (Camb)       Date:  2016-02-23

2.  Evolution of Minimum Mortality Temperature in Stockholm, Sweden, 1901-2009.

Authors:  Daniel Oudin Åström; Andreas Tornevi; Kristie L Ebi; Joacim Rocklöv; Bertil Forsberg
Journal:  Environ Health Perspect       Date:  2015-11-13       Impact factor: 9.031

  2 in total

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