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Information exchange and multiple peer groups: A natural experiment in an online community

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  • Jiang, Lingqing
  • Zhu, Zhen

Abstract

We utilise a quasi-experimental setup to identify causal effects of having additional peer groups on information exchange in a large online maternity community. The information exchange is a key performance indicator for the community as well as a public good among users. Pregnant users join default peer groups based on estimated due date (EDD). Natural uncertainties of EDD can lead to multiple peer groups. Using EDD as an instrumental variable, we find that additional peer group(s) reduces information exchange in both default peer group and total peer groups. Having more advanced groups mitigates the reduction, likely due to information spillovers.

Suggested Citation

  • Jiang, Lingqing & Zhu, Zhen, 2022. "Information exchange and multiple peer groups: A natural experiment in an online community," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 543-562.
    • Handle: RePEc:eee:jeborg:v:203:y:2022:i:c:p:543-562
    DOI: 10.1016/j.jebo.2022.09.019
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    More about this item

    Keywords

    Peer groups; Information exchange; Natural experiment; Instrumental variables; Online communities;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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