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  1. (-FY2017) Growth and Poverty Reduction
  2. Impact Assessment of Infrastructure Projects on Poverty Reduction

Spatial vs. Social Network Effects in Risk Sharing

https://doi.org/10.18884/00000735
https://doi.org/10.18884/00000735
793555a8-753d-409e-94b0-4dea599fc79c
名前 / ファイル ライセンス アクション
JICA-RI_WP_No.89.pdf JICA-RI_WP_No.89.pdf (1.5 MB)
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Item type 報告書 / Research Paper(1)
公開日 2015-03-09
タイトル
タイトル Spatial vs. Social Network Effects in Risk Sharing
言語
言語 eng
キーワード
主題Scheme Other
主題 risk sharing
キーワード
主題Scheme Other
主題 network
キーワード
主題Scheme Other
主題 kinship
キーワード
主題Scheme Other
主題 spillover effect
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18ws
資源タイプ research report
ID登録
ID登録 10.18884/00000735
ID登録タイプ JaLC
報告年度
日付 2015-03-09
日付タイプ Issued
著者 Aida, Takeshi

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内容記述タイプ Abstract
内容記述 Although substantial research has been conducted on informal consumption smoothing mechanisms within villages, or within social clusters such as family and friends, few studies have compared the effects of these spatial and social networks. Employing spatial panel econometric models, this study extends the conventional empirical test of the full risk-sharing hypothesis to incorporate spatial and social network effects, and quantifies the diffusion of income shocks in each network. Estimation results based on household survey data in Southern Sri Lanka show that consumption smoothing performs better in spatial networks than in social ones, because income shocks defuse more effectively among neighboring households. This study also shows the limitations of the conventional test when it is considered a special case of a spatial econometric model. Although substantial research has been conducted on informal consumption smoothing mechanisms within villages, or within social clusters such as family and friends, few studies have compared the effects of these spatial and social networks. Employing spatial panel econometric models, this study extends the conventional empirical test of the full risk-sharing hypothesis to incorporate spatial and social network effects, and quantifies the diffusion of income shocks in each network. Estimation results based on household survey data in Southern Sri Lanka show that consumption smoothing performs better in spatial networks than in social ones, because income shocks defuse more effectively among neighboring households. This study also shows the limitations of the conventional test when it is considered a special case of a spatial econometric model.
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号 Working Paper;89
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