Probabilistic population forecasts for informed decision making. Letter to the Editor.
Probabilistic population forecasts for informed decision making. Letter to the Editor.
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.
537-544
Bijak, Jakub
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Alberts, Isabel
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Alho, Juha
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Bryant, John
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Buettner, Thomas
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Falkingham, Jane C.
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Forster, Jonathan J.
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Gerland, Patrick
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Keilman, Nico
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King, Thomas
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O'Hagan, Anthony
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Onorante, Luca
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Owens, Darragh
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Raftery, Adrian E.
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Ševčíková, Hana
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Smith, Peter W.F.
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16 December 2015
Bijak, Jakub
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Alberts, Isabel
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Alho, Juha
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Bryant, John
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Buettner, Thomas
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Falkingham, Jane C.
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Forster, Jonathan J.
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Gerland, Patrick
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Keilman, Nico
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King, Thomas
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O'Hagan, Anthony
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Onorante, Luca
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Owens, Darragh
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Raftery, Adrian E.
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Ševčíková, Hana
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Smith, Peter W.F.
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