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The "Wedding-Ring"

Author

Listed:
  • Francesco Billari

    (Università Bocconi)

  • Alexia Prskawetz

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna))

  • Belinda Aparicio Diaz

    (Österreichische Akademie der Wissenschaften)

  • Thomas Fent

    (Österreichische Akademie der Wissenschaften)

Abstract

In this paper we develop an agent-based marriage model based on social interaction. We build an population of interacting agents whose chances of marrying depend on the availability of partners, and whose willingness to marry depends on the share of relevant others in their social network who are already married. We then let the typical aggregate age pattern of marriage emerge from the bottom-up. The results of our simulation show that micro-level hypotheses founded on existing theory and evidence on social interaction can reproduce age-at-marriage patterns with both realistic shape and realistic micro-level dynamics.

Suggested Citation

  • Francesco Billari & Alexia Prskawetz & Belinda Aparicio Diaz & Thomas Fent, 2007. "The "Wedding-Ring"," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(3), pages 59-82.
    • Handle: RePEc:dem:demres:v:17:y:2007:i:3
    DOI: 10.4054/DemRes.2007.17.3
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    References listed on IDEAS

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    1. Due, Pernille & Holstein, Bjørn & Lund, Rikke & Modvig, Jens & Avlund, Kirsten, 1999. "Social relations: network, support and relational strain," Social Science & Medicine, Elsevier, vol. 48(5), pages 661-673, March.
    2. Belinda Aparicio Diaz & Thomas Fent, 2006. "An Agent-Based Simulation Model of Age-at-Marriage Norms," Contributions to Economics, in: Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), Agent-Based Computational Modelling, pages 85-116, Springer.
    3. Giuseppe A. Micheli, 2000. "Kinship, family and social network," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(13).
    4. Peter Todd & Francesco Billari & Jorge Simão, 2005. "Aggregate age-at-marriage patterns from individual mate-search heuristics," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 559-574, August.
    5. Ryuichi Kaneko, 2003. "Elaboration of the Coale-McNeil Nuptiality Model as The Generalized Log Gamma Distribution," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(10), pages 223-262.
    6. Tiziana Nazio & Hans-Peter Blossfeld, 2003. "The Diffusion of Cohabitation among Young Women in West Germany, East Germany and Italy," European Journal of Population, Springer;European Association for Population Studies, vol. 19(1), pages 47-82, March.
    7. Francesco C. Billari & Alexia Prskawetz & Johannes Fürnkranz, 2002. "The cultural evolution of age-at-marriage norms," MPIDR Working Papers WP-2002-018, Max Planck Institute for Demographic Research, Rostock, Germany.
    8. Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), 2006. "Agent-Based Computational Modelling," Contributions to Economics, Springer, number 978-3-7908-1721-8, January.
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    Citations

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    Cited by:

    1. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2019. "Examining Cause-Effect Relations in the Social Sciences A Structural Causal Modelling Approach," LIDAM Discussion Papers ISBA 2019002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Nicoletta Balbo & Nicola Barban & Melinda Mills, 2013. "Friend and peer effects on entry into marriage and parenthood: A multiprocess approach," Working Papers 056, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    3. Adamopoulou, Effrosyni, 2012. "Peer Effects in Young Adults' Marital Decisions," UC3M Working papers. Economics we1228, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Jakub Bijak & Jason D. Hilton & Eric Silverman & Viet Dung Cao, 2013. "Reforging the Wedding Ring," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(27), pages 729-766.
    5. Thomas Fent & Belinda Aparicio Diaz & Alexia Prskawetz, 2013. "Family policies in the context of low fertility and social structure," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(37), pages 963-998.
    6. Jovan Žamac & Daniel Hallberg & Thomas Lindh, 2010. "Low Fertility and Long-Run Growth in an Economy with a Large Public Sector [Fécondité basse et croissance à long terme dans une économie à secteur public très développé]," European Journal of Population, Springer;European Association for Population Studies, vol. 26(2), pages 183-205, May.
    7. Lyndon Walker & Peter Davis, 2013. "Modelling "Marriage Markets": A Population-Scale Implementation and Parameter Test," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 1-6.
    8. Wunsch, Guillaume & Mouchart, Michel & Russo, Federica, 2019. "La modelisation en sciences sociales: Incertitudes et defis," LIDAM Discussion Papers ISBA 2019003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    9. Kostas Rontos & Luca Salvati, 2020. "Space Matters? Exploring Gender Differentials in the Age at Marriage, Greece (1980–2017)," Social Sciences, MDPI, vol. 9(4), pages 1-18, April.
    10. Valeriy Makarov & Albert Bakhtizin & Elena Sushko, 2015. "Simulating the Reproductive Behavior of a Region’s Population with an Agent-Based Model," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 312-322.
    11. Pei-jun Ye & Xiao Wang & Cheng Chen & Yue-tong Lin & Fei-Yue Wang, 2016. "Hybrid Agent Modeling in Population Simulation: Current Approaches and Future Directions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 19(1), pages 1-12.
    12. Anna Klabunde & Frans Willekens, 2016. "Decision-Making in Agent-Based Models of Migration: State of the Art and Challenges," European Journal of Population, Springer;European Association for Population Studies, vol. 32(1), pages 73-97, February.

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    More about this item

    Keywords

    marriage; models; social interaction; micro-macro; age at marriage; agent-based computational demography;
    All these keywords.

    JEL classification:

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

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