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Monitoring trends and differences in COVID-19 case-fatality rates using decomposition methods: contributions of age structure and age-specific fatality

Author

Listed:
  • Christian Dudel

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Timothy Riffe

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Enrique Acosta

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Alyson A. van Raalte

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Cosmo Strozza

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Mikko Myrskylä

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

No abstract is available for this item.

Suggested Citation

  • Christian Dudel & Timothy Riffe & Enrique Acosta & Alyson A. van Raalte & Cosmo Strozza & Mikko Myrskylä, 2020. "Monitoring trends and differences in COVID-19 case-fatality rates using decomposition methods: contributions of age structure and age-specific fatality," MPIDR Working Papers WP-2020-020, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2020-020
    DOI: 10.4054/MPIDR-WP-2020-020
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    References listed on IDEAS

    as
    1. Iacovou, Maria & J. Skew, Alexandra, 2010. "Household structure in the EU," ISER Working Paper Series 2010-10, Institute for Social and Economic Research.
    2. Christian Bayer & Moritz Kuhn, 2020. "Intergenerational ties and case fatality rates: A cross-country analysis," ECONtribute Policy Brief Series 003, University of Bonn and University of Cologne, Germany.
    3. Shiro Horiuchi & John Wilmoth & Scott Pletcher, 2008. "A decomposition method based on a model of continuous change," Demography, Springer;Population Association of America (PAA), vol. 45(4), pages 785-801, November.
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    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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