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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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  • Hiwatari, Masato

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.

Suggested Citation

  • Hiwatari, Masato, 2010. "A Network Structure of ROSCAs (Rotating Savings and Credit Associations) : ERGMs (Exponential Random Graph Models) Applied to a Leaders' Network in Rural Uzbekistan," Discussion paper series. A 221, Graduate School of Economics and Business Administration, Hokkaido University.
  • Handle: RePEc:hok:dpaper:221
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    File URL: http://hdl.handle.net/2115/42737
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    File URL: https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/42737/1/DPA221.pdf
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    More about this item

    Keywords

    ROSCAs; Networks; Risk-Sharing; ERGMs; MCMC; O1; I3;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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