Artikel

Modeling best practice life expectancy using gumbel autoregressive models

Best practice life expectancy has recently been modeled using extreme value theory. In this paper we present the Gumbel autoregressive model of order one-Gumbel AR(1)-as an option for modeling best practice life expectancy. This class of model represents a neat and coherent framework for modeling time series extremes. The Gumbel distribution accounts for the extreme nature of best practice life expectancy, while the AR structure accounts for the temporal dependence in the time series. Model diagnostics and simulation results indicate that these models present a viable alternative to Gaussian AR(1) models when dealing with time series of extremes and merit further exploration.

Language
Englisch

Bibliographic citation
Journal: Risks ; ISSN: 2227-9091 ; Volume: 9 ; Year: 2021 ; Issue: 3 ; Pages: 1-9 ; Basel: MDPI

Classification
Wirtschaft
Subject
autoregression
best practice life expectancy
extreme values
Gumbel models
time series

Event
Geistige Schöpfung
(who)
Medford, Anthony
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2021

DOI
doi:10.3390/risks9030051
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Medford, Anthony
  • MDPI

Time of origin

  • 2021

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