A Network Structure of ROSCAs (Rotating Savings and Credit Associations) : ERGMs (Exponential Random Graph Models) Applied to a Leaders' Network in Rural Uzbekistan

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This paper empirically analyzes a network structure created by the ROSCAs (Rotating Savings and Credit Associations) related to a leaders' network in rural Uzbekistan. The estimation methodology is based on the recent development of ERGMs (Exponential Random Graph Models) whose approximate maximum likelihood estimators are produced by MCMC (Markov Chain Monte Carlo) algorithms. The paper reveals the tendencies of the transitive triad structure of the network that can facilitate the tracking of defecting members.

収録刊行物

  • Discussion Paper, Series A

    Discussion Paper, Series A 221 1-24, 2010-02

    Graduate School of Economics & Business Administration, Hokkaido University

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詳細情報 詳細情報について

  • CRID
    1050845763935889024
  • NII論文ID
    120001944328
  • HANDLE
    2115/42737
  • 本文言語コード
    en
  • 資料種別
    departmental bulletin paper
  • データソース種別
    • IRDB
    • CiNii Articles
    • KAKEN

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