EconPapers    
Economics at your fingertips  
 

A validation workflow for mortality forecasting

Ricarda Duerst, Jonas Schöley and Christina Bohk-Ewald
Additional contact information
Ricarda Duerst: Max Planck Institute for Demographic Research, Rostock, Germany
Jonas Schöley: Max Planck Institute for Demographic Research, Rostock, Germany
Christina Bohk-Ewald: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2023-020, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

Abstract: Accurate mortality forecasts are essential for decision makers to plan for changing needs of pension and other social security systems. Researchers have developed a variety of methods with increasing methodological complexity to forecast mortality developments. We introduce a method validation workflow designed for mortality forecasts. The aim of our workflow is to assess the suitability of forecast method depending on the prevailing mortality regime in the country of interest. For our analysis, we apply our workflow to short-term Lee-Carter forecasts for 24 countries to showcase different mortality regimes. We assess Lee-Carter's forecast performance on the life expectancy and lifespan disparity at birth. We show that the mortality regime in the country of interest plays a crucial role for the performance of a forecast method. Thus, our method validation workflow helps researchers to choose an appropriate mortality forecast method.

Keywords: forecasts; mortality (search for similar items in EconPapers)
JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2023
New Economics Papers: this item is included in nep-age, nep-dem, nep-for and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.demogr.mpg.de/papers/working/wp-2023-020.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dem:wpaper:wp-2023-020

DOI: 10.4054/MPIDR-WP-2023-020

Access Statistics for this paper

More papers in MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany
Bibliographic data for series maintained by Peter Wilhelm ().

 
Page updated 2025-04-05
Handle: RePEc:dem:wpaper:wp-2023-020