Cited by 24Insurance, Mortality, Demography, Risk ManagementEconomic Growth and ProductivitySocial and Demographic Issues in Germany

Demography as a forecasting tool

Lindh, Thomas·2003·Futures

Integrity signals

Registry

Crossref · 10.1016/s0016-3287(02)00049-6

Cites

26 of 26 references verified0 citation errors · 0 not checkable

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  • The "slow demography" idea has allowed demographic scenarios and forecasts to be used as inputs in scenarios for other factors.

    “The “slow demography” idea, that the demographic future does not generally depend on nondemographic factors, has also allowed the use of demographic scenarios and forecasts as inputs in scenarios for other factors.”

    From Demography: Fast and Slow (2022) · cites this paper as Lindh 2003

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Authors
Lindh, T.
Affiliations
Institute for Futures Studies (SE)
Corresponding author
Lindh, Thomas
Venue
Futures
Publisher
Elsevier BV
Published
2003-02
Volume
35
Issue
1
Pages
37-48
ISSN
0016-3287 (ISSN-L)
OpenAlex
W2051801391
Cited by
23
References
28
Citations by year
2026: 1 · 2025: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2018: 1 · 2017: 1 · 2016: 4 · 2015: 1 · 2013: 2
FWCI
2.12
Type
journal article
Language
en
Open access
closed
Locations
Futures (publishedVersion)
Topics
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
  • Health Sciences › Health Professions › General Health Professions › Social and Demographic Issues in Germany
Keywords
population aging, population forecasting, population projections, future scenarios, intergenerational relations, welfare burden, working-age population, labor shortage, productivity growth, monetary policy, educational demand, higher education expansion, population policy, European populations

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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