Subnational population forecasts
Do users want to know about uncertainty
Bibliographic Data
| ID | 2637409 |
|---|---|
| Authors | Tom Wilson (0000-0001-8812-7556, The University of Melbourne, corresponding author), Fiona Shalley (0000-0001-5101-9949, Charles Darwin University) |
| Year | 2019 |
| Volume | 41 |
| Pages | 367-392 |
| Publication date | 2019-07-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demographic Research (JOURNAL) |
| Journal identifiers | ISSN: 1435-9871 • E-ISSN: 2363-7064 |
| Publisher | Max Planck Institute for Demographic Research (PUBLISHER • DE) |
| DOI | 10.4054/demres.2019.41.13 |
| OpenAlex | W2964543098 |
| Language | EN |
| Citations received | 6 |
| References cited | 25 |
Subnational population forecasts form a key input to many significant investment and planning decisions, but these forecasts are often subject to considerable amounts of uncertainty, even in the short run. This uncertainty is rarely quantified at the subna
Actuarial science · Business · Econometrics · Economics · Investment Decisions · Political science · Population · Sociology · Computer Science · demographic modeling and climate adaptation · Global Health Care Issues · Insurance, Mortality, Demography, Risk Management · Finance
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| Unique citing works | 6 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |