A Network Structure of ROSCAs (Rotating Savings and Credit Associations) : ERGMs (Exponential Random Graph Models) Applied to a Leaders' Network in Rural Uzbekistan
抄録
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
- Tweet
キーワード
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