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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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Abstract

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.

Journal

  • 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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Keywords

Details

  • CRID
    1050845763935889024
  • NII Article ID
    120001944328
  • HANDLE
    2115/42737
  • Text Lang
    en
  • Article Type
    departmental bulletin paper
  • Data Source
    • IRDB
    • CiNii Articles
    • KAKEN

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