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The formal demography of kinship II: Multistate models, parity, and sibship

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  • Hal Caswell

    (Universiteit van Amsterdam)

Abstract

Background: Recent kinship models focus on the age structures of kin as a function of the age of the focal individual. However, variables in addition to age have important impacts. Generalizing age-specific models to multistate models including other variables is an important and hitherto unsolved problem. Objective: The aim is to develop a multistate kinship model, classifying individuals jointly by age and other criteria (generically, “stages”). Methods: The vec-permutation method is used to create multistate projection matrices including age- and stage-dependent survival, fertility, and transitions. These matrices operate on block-structured population vectors that describe the age×stage structure of each kind of kin, at each age of a focal individual. Results: The new matrix formulation is directly comparable to, and greatly extends, the recent age-classified kinship model of Caswell (2019a). As an application, a model is derived including age and parity. It provides, for all types of kin, the joint age×parity structure, the marginal age and parity structures, and the (normalized) parity distributions, at every age of the focal individual. The age×parity distributions provide the distributions of sibship sizes of kin. As an example, the model is applied to Slovakia (1960–2014). The results show a dramatic shift in the parity distribution as the frequency of low-parity kin increased and that of high-parity kin decreased. Contribution: This model extends the formal demographic analysis of kinship to age×stage-classified models. In addition to parity, other stage classifications, including marital status, maternal age effects, and sex are now open to analysis.

Suggested Citation

  • Hal Caswell, 2020. "The formal demography of kinship II: Multistate models, parity, and sibship," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(38), pages 1097-1146.
  • Handle: RePEc:dem:demres:v:42:y:2020:i:38
    DOI: 10.4054/DemRes.2020.42.38
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    1. Aïda Nitsch & Charlotte Faurie & Virpi Lummaa, 2014. "Alloparenting in humans: fitness consequences of aunts and uncles on survival in historical Finland," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(2), pages 424-433.
    2. Hal Caswell, 2014. "A matrix approach to the statistics of longevity in heterogeneous frailty models," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(19), pages 553-592.
    3. Sara Cools & Simen Markussen & Marte Strøm, 2017. "Children and Careers: How Family Size Affects Parents’ Labor Market Outcomes in the Long Run," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1773-1793, October.
    4. Thomas Pullum & Douglas Wolf, 1991. "Correlations between frequencies of kin," Demography, Springer;Population Association of America (PAA), vol. 28(3), pages 391-409, August.
    5. Hartemink, Nienke & Missov, Trifon I. & Caswell, Hal, 2017. "Stochasticity, heterogeneity, and variance in longevity in human populations," Theoretical Population Biology, Elsevier, vol. 114(C), pages 107-116.
    6. Kieron Barclay & Martin Kolk, 2019. "Parity and Mortality: An Examination of Different Explanatory Mechanisms Using Data on Biological and Adoptive Parents," European Journal of Population, Springer;European Association for Population Studies, vol. 35(1), pages 63-85, February.
    7. Samuel Preston, 1976. "Family sizes of children and family sizes of women," Demography, Springer;Population Association of America (PAA), vol. 13(1), pages 105-114, February.
    8. Rachel Margolis & Ashton M. Verdery, 2017. "Older Adults Without Close Kin in the United States," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(4), pages 688-693.
    9. Matthijs Kalmijn & Herman G van de Werfhorst, 2016. "Sibship Size and Gendered Resource Dilution in Different Societal Contexts," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-16, August.
    10. Menghan Zhao & Yang Zhang, 2019. "Parental childcare support, sibship status and mothers’ second-child plans in urban China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(47), pages 1315-1346.
    11. Xi Song & Robert D. Mare, 2019. "Shared Lifetimes, Multigenerational Exposure, and Educational Mobility," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 891-916, June.
    12. Zeng Yi & James Vaupel & Wang Zhenglian, 1997. "A multi-dimensional model for projecting family households - with an illustrative numerical application," Mathematical Population Studies, Taylor & Francis Journals, vol. 6(3), pages 187-216.
    13. Tony Fahey, 2017. "The Sibsize Revolution and Social Disparities in Children’s Family Contexts in the United States, 1940–2012," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 813-834, June.
    14. van Daalen, Silke & Caswell, Hal, 2020. "Variance as a life history outcome: Sensitivity analysis of the contributions of stochasticity and heterogeneity," Ecological Modelling, Elsevier, vol. 417(C).
    15. Hal Caswell, 2019. "The formal demography of kinship: A matrix formulation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(24), pages 679-712.
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    Cited by:

    1. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    2. Hal Caswell & Xi Song, 2021. "The formal demography of kinship III: Kinship dynamics with time-varying demographic rates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(16), pages 517-546.
    3. Sha Jiang & Wenyun Zuo & Zhen Guo & Hal Caswell & Shripad Tuljapurkar, 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.
    4. 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.
    5. Hal Caswell & Silke van Daalen, 2021. "Healthy longevity from incidence-based models: More kinds of health than stars in the sky," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(13), pages 397-452.

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    More about this item

    Keywords

    kinship; multistate models; parity; Slovakia; matrix models; vec-permutation matrices; sibship;
    All these keywords.

    JEL classification:

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

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