IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2025-024.html
   My bibliography  Save this paper

Measuring kinship dependency: a cross-national comparison across care regimes

Author

Listed:
  • Sha Jiang

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

  • Diego Alburez-Gutierrez

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

  • Pil H. Chung
  • Monica J. Alexander

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

Abstract

No abstract is available for this item.

Suggested Citation

  • Sha Jiang & Diego Alburez-Gutierrez & Pil H. Chung & Monica J. Alexander, 2025. "Measuring kinship dependency: a cross-national comparison across care regimes," MPIDR Working Papers WP-2025-024, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2025-024
    DOI: 10.4054/MPIDR-WP-2025-024
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/papers/working/wp-2025-024.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/MPIDR-WP-2025-024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sha Jiang & Shripad Tuljapurkar & Hal Caswell & Zhen Guo & Wenyun Zuo, 2023. "How does the demographic transition affect kinship networks?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(32), pages 899-930.
    2. Hal Caswell, 2022. "The formal demography of kinship IV: Two-sex models and their approximations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(13), pages 359-396.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hal Caswell, 2024. "The formal demography of kinship VI: Demographic stochasticity and variance in the kinship network," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 51(39), pages 1201-1256.
    2. Sha Jiang & Shripad Tuljapurkar & Hal Caswell & Zhen Guo & Wenyun Zuo, 2023. "How does the demographic transition affect kinship networks?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(32), pages 899-930.
    3. Butterick, Joe W.B. & Smith, Peter W.F. & Bijak, Jakub & Hilton, Jason, 2025. "A mathematical framework for time-variant multi-state kinship modelling," Theoretical Population Biology, Elsevier, vol. 163(C), pages 1-12.
    4. Liliana P. Calderón-Bernal & Diego Alburez-Gutierrez & Martin Kolk & Emilio Zagheni, 2025. "Assessing the validity of microsimulated kinship networks using Swedish population registers," MPIDR Working Papers WP-2025-020, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Hal Caswell & Rachel Margolis & Ashton Verdery, 2023. "The formal demography of kinship V: Kin loss, bereavement, and causes of death," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(41), pages 1163-1200.
    6. Sha Jiang & Haili Liang & Diego Alburez-Gutierrez & Emilio Zagheni, 2025. "Human capital investment helps mitigate family caregiving challenges in aging China," MPIDR Working Papers WP-2025-021, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Hal Caswell & Lotte de Vries, 2025. "The formal demography of kinship VII: Lifetime kin overlap within and across generations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 53(5), pages 123-174.

    More about this item

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:wpaper:wp-2025-024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Wilhelm (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.