Artikel
Coherent mortality forecasting for less developed countries
This paper proposes a coherent multi-population approach to mortality forecasting for less developed countries. The majority of these countries have witnessed faster mortality declines among the young and the working age populations during the past few decades, whereas in the more developed countries, the contemporary mortality declines have been more substantial among the elders. Along with the socioeconomic developments, the mortality patterns of the less developed countries may become closer to those of the more developed countries. As a consequence, forecasting the long-term mortality of a less developed country by simply extrapolating its historical patterns might lead to implausible results. As an alternative, this paper proposes to incorporate the mortality patterns of a group of more developed countries as the benchmark to improve the forecast for a less developed one. With long-term, between-country coherence in mind, we allow the less developed country's age-specific mortality improvement rates to gradually converge with those of the benchmark countries during the projection phase. Further, we employ a data-driven, threshold hitting approach to control the speed of this convergence. Our method is applied to China, Brazil, and Nigeria. We conclude that taking into account the gradual convergence of mortality patterns can lead to more reasonable long-term forecasts for less developed countries.
- Sprache
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Englisch
- Erschienen in
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Journal: Risks ; ISSN: 2227-9091 ; Volume: 9 ; Year: 2021 ; Issue: 9 ; Pages: 1-21 ; Basel: MDPI
- Klassifikation
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Wirtschaft
- Thema
-
coherent mortality forecasts
double logistic function
less developed countries
mortality rotation
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Li, Hong
Lu, Yang
Lyu, Pintao
- Ereignis
-
Veröffentlichung
- (wer)
-
MDPI
- (wo)
-
Basel
- (wann)
-
2021
- DOI
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doi:10.3390/risks9090151
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:46 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Li, Hong
- Lu, Yang
- Lyu, Pintao
- MDPI
Entstanden
- 2021
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