Human Mortality

The Human Mortality Database (HMD) was created to provide detailed mortality and population data to researchers, students, journalists, policy analysts, and others interested in the history of human longevity. The project began as an outgrowth of earlier projects in the Department of Demography at the University of California, Berkeley, USA, and at the Max Planck Institute for Demographic Research in Rostock, Germany.


References in zbMATH (referenced in 113 articles )

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  1. Alvares Maffra, Sergio; Armstrong, John; Pennanen, Teemu: Stochastic modeling of assets and liabilities with mortality risk (2021)
  2. Berstein, Solange; Morales, Marco: The role of a longevity insurance for defined contribution pension systems (2021)
  3. Börger, Matthias; Russ, Jochen; Schupp, Johannes: It takes two: why mortality trend modeling is more than modeling one mortality trend (2021)
  4. Boumezoued, Alexandre; Elfassihi, Amal: Mortality data correction in the absence of monthly fertility records (2021)
  5. Bravo, Jorge M.; Nunes, João Pedro Vidal: Pricing longevity derivatives via Fourier transforms (2021)
  6. Èdiev, D. M.: On existence and uniqueness of remaining life expectancy estimates in the model of stable population (2021)
  7. Nigri, Andrea; Levantesi, Susanna; Marino, Mario: Life expectancy and lifespan disparity forecasting: a long short-term memory approach (2021)
  8. Perla, Francesca; Richman, Ronald; Scognamiglio, Salvatore; Wüthrich, Mario V.: Time-series forecasting of mortality rates using deep learning (2021)
  9. Atance, David; Balbás, Alejandro; Navarro, Eliseo: Constructing dynamic life tables with a single-factor model (2020)
  10. Boumezoued, Alexandre; Hoffmann, Marc; Jeunesse, Paulien: A new inference strategy for general population mortality tables (2020)
  11. Bozikas, Apostolos; Pitselis, Georgios: Incorporating crossed classification credibility into the Lee-Carter model for multi-population mortality data (2020)
  12. Castellares, Fredy; Patrício, Silvio C.; Lemonte, Artur J.; Queiroz, Bernardo L.: On closed-form expressions to Gompertz-Makeham life expectancy (2020)
  13. Chang, Le; Shi, Yanlin: Dynamic modelling and coherent forecasting of mortality rates: a time-varying coefficient spatial-temporal autoregressive approach (2020)
  14. de Jong, Piet; Tickle, Leonie; Xu, Jianhui: A more meaningful parameterization of the Lee-Carter model (2020)
  15. Dong, Yumo; Huang, Fei; Yu, Honglin; Haberman, Steven: Multi-population mortality forecasting using tensor decomposition (2020)
  16. Feichtinger, Gustav; Grass, Dieter; Winkler-Dworak, Maria: The mathematics of ageing: linking demography and operations research to study the greying of academia (2020)
  17. Huang, Fei; Maller, Ross; Ning, Xu: Modelling life tables with advanced ages: an extreme value theory approach (2020)
  18. Jarner, Søren F.; Jallbjørn, Snorre: Pitfalls and merits of cointegration-based mortality models (2020)
  19. Li, Jackie; Wong, Kenneth: Incorporating structural changes in mortality improvements for mortality forecasting (2020)
  20. Meyer, Patrick; Ponthiere, Gregory: Threshold ages for the relation between lifetime entropy and mortality risk (2020)

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