IDEAS home Printed from https://ideas.repec.org/p/mos/moswps/2023-23.html
   My bibliography  Save this paper

The Role of Child Gender in the Formation of Parents’ Social Networks

Author

Listed:
  • Aristide Houndetoungan

    (Department of Economics, Thema, Cy Cergy Paris Université)

  • Asad Islam

    (Centre for Development Economics and Sustainability (CDES) and Department of Economics, Monash University, and J-PAL)

  • Michael Vlassopoulos

    (Economics Department, Social Sciences, University of Southampton, and IZA.)

  • Yves Zenou

    (Department of Economics, Monash University, CEPR, and IZA)

Abstract

Social networks play an important role in various aspects of life. While extensive research has explored factors such as gender, race, and education in network formation, one dimension that has received less attention is the gender of one’s child. Children tend to form friendships with same gender peers, potentially leading their parents to interact based on their child’s gender. Focusing on households with children aged 3-5, we leverage a rich dataset from rural Bangladesh to investigate the role of children’s gender in parental network formation. We estimate an equilibrium model of network formation that considers a child’s gender alongside other socioeconomic factors. Counterfactual analyses reveal that children’s gender significantly shapes parents’ network structure. Specifically, if all children share the same gender, households would have approximately 15% more links, with a stronger effect for families having girls. Importantly, the impact of children’s gender on network structure is on par with or even surpasses that of factors such as income distribution, parental occupation, education, and age. These findings carry implications for debates surrounding coed versus single-sex schools, as well as policies that foster inter-gender social interactions among children.

Suggested Citation

  • Aristide Houndetoungan & Asad Islam & Michael Vlassopoulos & Yves Zenou, 2023. "The Role of Child Gender in the Formation of Parents’ Social Networks," Monash Economics Working Papers 2023-23, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2023-23
    as

    Download full text from publisher

    File URL: http://monash-econ-wps.s3-ap-southeast-2.amazonaws.com/RePEc/mos/moswps/2023-23.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. De Weerdt, Joachim & Dercon, Stefan, 2006. "Risk-sharing networks and insurance against illness," Journal of Development Economics, Elsevier, vol. 81(2), pages 337-356, December.
    2. Sergio Currarini & Matthew O. Jackson & Paolo Pin, 2009. "An Economic Model of Friendship: Homophily, Minorities, and Segregation," Econometrica, Econometric Society, vol. 77(4), pages 1003-1045, July.
    3. Fafchamps, Marcel & Gubert, Flore, 2007. "The formation of risk sharing networks," Journal of Development Economics, Elsevier, vol. 83(2), pages 326-350, July.
    4. repec:dau:papers:123456789/4392 is not listed on IDEAS
    5. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 147-165.
    6. repec:dau:papers:123456789/10840 is not listed on IDEAS
    7. Marcel Fafchamps & Flore Gubert, 2007. "Risk Sharing and Network Formation," American Economic Review, American Economic Association, vol. 97(2), pages 75-79, May.
    8. Angelo Mele, 2017. "A Structural Model of Dense Network Formation," Econometrica, Econometric Society, vol. 85, pages 825-850, May.
    9. Youjin Hahn & Asadul Islam & Eleonora Patacchini & Yves Zenou, 2020. "Friendship and Female Education: Evidence from a Field Experiment in Bangladeshi Primary Schools," The Economic Journal, Royal Economic Society, vol. 130(627), pages 740-764.
    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. Alex Centeno, 2022. "A Structural Model for Detecting Communities in Networks," Papers 2209.08380, arXiv.org, revised Oct 2022.
    2. Bryan S. Graham, 2019. "Network Data," CeMMAP working papers CWP71/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Tadao Hoshino & Daichi Shimamoto & Yasuyuki Todo, 2020. "Accounting for Heterogeneity in Network Formation Behaviour: An Application to Vietnamese SMEs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1042-1067, October.
    4. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    5. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    6. Luis Alvarez & Cristine Pinto & Vladimir Ponczek, 2022. "Homophily in preferences or meetings? Identifying and estimating an iterative network formation model," Papers 2201.06694, arXiv.org, revised Mar 2024.
    7. Bryan S. Graham, 2017. "An econometric model of network formation with degree heterogeneity," CeMMAP working papers 08/17, Institute for Fiscal Studies.
    8. Renaud Bourlès & Yann Bramoullé & Eduardo Perez-Richet, 2021. "Altruism and Risk Sharing in Networks," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1488-1521.
    9. Digvijay S. Negi & Christopher B. Barrett, 2024. "Consumption Smoothing, Commodity Markets, and Informal Transfers," Working Papers 116, Ashoka University, Department of Economics.
    10. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    11. Orazio Attanasio & Abigail Barr & Juan Camilo Cardenas & Garance Genicot & Costas Meghir, 2012. "Risk Pooling, Risk Preferences, and Social Networks," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 134-167, April.
    12. Gulesci,Selim, 2020. "Poverty Alleviation and Interhousehold Transfers : Evidence from BRAC's Graduation Program in Bangladesh," Policy Research Working Paper Series 9467, The World Bank.
    13. Yasuyuki Todo & Keita Oikawa & Masahito Ambashi & Fukunari Kimura & Shujiro Urata, 2023. "Robustness and resilience of supply chains during the COVID‐19 pandemic," The World Economy, Wiley Blackwell, vol. 46(6), pages 1843-1872, June.
    14. Gao, Wayne Yuan & Li, Ming & Xu, Sheng, 2023. "Logical differencing in dyadic network formation models with nontransferable utilities," Journal of Econometrics, Elsevier, vol. 235(1), pages 302-324.
    15. D’Exelle, Ben & Verschoor, Arjan, 2023. "Village networks and entrepreneurial farming in Uganda," World Development, Elsevier, vol. 167(C).
    16. Jun Sung Kim & Eleonora Patacchini & Pierre M. Picard & Yves Zenou, 2023. "Spatial interactions," Quantitative Economics, Econometric Society, vol. 14(4), pages 1295-1335, November.
    17. Daniel J. Hernandez & Fernando Jaramillo & Hubert Kempf & Fabien Moizeau & Thomas Vendryes, 2023. "Limited Commitment, Social Control and Risk-Sharing Coalitions in Village Economies," Economics Working Paper Archive (University of Rennes & University of Caen) 2023-03, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    18. Attila Ambrus & Markus Mobius & Adam Szeidl, 2014. "Consumption Risk-Sharing in Social Networks," American Economic Review, American Economic Association, vol. 104(1), pages 149-182, January.
    19. Asadul Islam & C. Matthew Leister & Minhaj Mahmud & Paul A. Raschky, 2020. "Natural disaster and risk-sharing behavior: Evidence from rural Bangladesh," Journal of Risk and Uncertainty, Springer, vol. 61(1), pages 67-99, August.
    20. Heath Henderson & Arnob Alam, 2022. "The structure of risk-sharing networks," Empirical Economics, Springer, vol. 62(2), pages 853-886, February.

    More about this item

    Keywords

    Social networks; early childhood; network formation; gender;
    All these keywords.

    JEL classification:

    • C57 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Econometrics of Games and Auctions
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    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:mos:moswps:2023-23. 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: Simon Angus (email available below). General contact details of provider: https://edirc.repec.org/data/dxmonau.html .

    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.