EconPapers    
Economics at your fingertips  
 

Calculation of week-specific age-standardized death rates from STMF data on mortality by broad age intervals

Ilya Klimkin, Vladimir M. Shkolnikov and Dmitri A. Jdanov
Additional contact information
Vladimir M. Shkolnikov: Max Planck Institute for Demographic Research, Rostock, Germany
Dmitri A. Jdanov: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2021-004, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

Abstract: The Short-Term Mortality Fluctuations (STMF) data series provides an opportunity for analysis of intra-annual excess mortality, in particular, human losses due to the COVID-19 pandemic. Nevertheless, the STMF has a limitation caused by the nature of the collected original weekly death counts. In many countries, weekly death counts are available only by broad age groups or/and are too small and shaky. Moreover, the original age scales somewhat vary by country. Thus, the STMF data file presents weekly deaths and death rates by broad age intervals. This simplifies the usage of the STMF and helps to conduct analyses but limits the comparability of results across countries and time. The comparisons may be biased due to differences between the population age composition. This study addresses the problem by providing a method for the estimation of week-specific standardized death rates (SDRs) that combines the aggregated weekly mortality data with detailed annual data on mortality and population. This allows deriving annual transition coefficients for the transformation of crude death rates into SDRs. We show that the derived SDRs approximate well exact SDRs across time and countries.

JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2021
New Economics Papers: this item is included in nep-dem
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://www.demogr.mpg.de/papers/working/wp-2021-004.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-2021-004

DOI: 10.4054/MPIDR-WP-2021-004

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 2021-06-22
Handle: RePEc:dem:wpaper:wp-2021-004