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

Jakub Bijak¹, Isabel Alberts², Juha Alho³

¹University of Southampton.

Journal of Official Statistics

|March 8, 2016

Summary

Official population forecasts have uncertainty, but describing it is crucial for decision-making. This work highlights challenges and offers recommendations for improving the use of uncertainty assessments in demographic projections.

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Area of Science:

Demography
Statistical Modeling
Population Studies

Background:

Demographic forecasts are essential for planning but inherently uncertain.
Methods for quantifying forecast uncertainty exist but are underutilized by official statistics practitioners.
Effective decision-making relies on understanding the uncertainty surrounding future population trends.

Purpose of the Study:

To revisit the arguments for using uncertainty assessments in official population forecasts.
To address the implications of uncertainty in demographic projections for decision-making.
To identify challenges and provide recommendations for the official statistics community.

Main Methods:

Review of existing methods for assessing demographic forecast uncertainty.
Analysis of the practical applications and implications of uncertainty in population statistics.
Discussion of challenges faced by forecasters and users of demographic data.

Main Results:

The uptake of uncertainty assessment tools in official statistics lags behind their development.
Understanding forecast uncertainty is critical for informed policy and planning.
Challenges exist for both producers and users of demographic forecasts.

Conclusions:

Implementing uncertainty assessments in official population forecasts is vital for robust decision-making.
Addressing the identified challenges can improve the utility of demographic projections.
Recommendations are provided to foster greater adoption of uncertainty quantification in the statistical community.