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Comparison of the 1st and 2nd order Lee–Carter methods with the robust Hyndman–Ullah method for fitting and forecasting mortality rates
Mälardalen University, School of Education, Culture and Communication.
2020 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The 1st and 2nd order Lee–Carter methods were compared with the Hyndman–Ullah method in regards to goodness of fit and forecasting ability of mortality rates. Swedish population data was used from the Human Mortality Database. The robust estimation property of the Hyndman–Ullah method was also tested with inclusion of the Spanish flu and a hypothetical scenario of the COVID-19 pandemic. After having presented the three methods and making several comparisons between the methods, it is concluded that the Hyndman–Ullah method is overall superior among the three methods with the implementation of the chosen dataset. Its robust estimation of mortality shocks could also be confirmed.

Place, publisher, year, edition, pages
2020. , p. 71
Keywords [en]
Mortality rate, Death rate, Data fitting, Lee-Carter, 2nd order Lee–Carter, Hyndman–Ullah, Modeling, ARIMA, Random walk, Singular Value Decomposition, Penalized Regression Splines, Weighted Functional Principal Component Analysis, Forecasting, Spanish flu, COVID-19
National Category
Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-48383OAI: oai:DiVA.org:mdh-48383DiVA, id: diva2:1437029
Subject / course
Mathematics/Applied Mathematics
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Available from: 2020-06-10 Created: 2020-06-08 Last updated: 2020-06-10Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf