Changes in Social Network Structure in Response to Exposure to Formal Credit Markets

IF 5.9 1区 经济学 Q1 ECONOMICS
Abhijit Banerjee, Emily Breza, Arun G Chandrasekhar, Esther Duflo, Matthew O Jackson, Cynthia kinnan
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Abstract

Abstract We show that the entry of formal financial institutions can have far-reaching and long-lasting impacts on informal lending and social networks more generally. We first study the introduction of microfinance in 75 villages in Karnataka, India, 43 of which were exposed to microfinance. Using difference-in-differences, we show that networks shrank more in exposed villages. Moreover, links between households that were both unlikely to borrow from microfinance were at least as likely to disappear as links involving likely borrowers. We replicate these surprising findings in the context of a randomised controlled trial (RCT) in Hyderabad, where a microfinance institution randomly selected 52 of 104 neighbourhoods to enter first. Four years after all neighbourhoods were treated, households in early-entry neighbourhoods had credit access longer and had larger loans. We again find fewer social relationships between households in these neighbourhoods, even among those ex-ante unlikely to borrow. Because the results suggest global spillovers, atypical in usual models of network formation, we develop a new dynamic model of network formation that emphasizes chance meetings, where efforts to socialize generate a global network-level externality. Finally, we analyse informal borrowing and the sensitivity of consumption to income fluctuations. Households unlikely to take up microcredit suffer the greatest loss of informal borrowing and risk sharing, underscoring the global nature of the externality.
社会网络结构的变化对正规信贷市场的反应
本文表明,正规金融机构的进入可以对非正规借贷和社会网络产生深远而持久的影响。我们首先在印度卡纳塔克邦的75个村庄研究了小额信贷的引入,其中43个村庄接触了小额信贷。使用差异中的差异,我们发现网络在暴露的村庄收缩得更多。此外,不太可能从小额信贷中借款的家庭之间的联系至少与可能的借款人之间的联系一样有可能消失。我们在海德拉巴的一项随机对照试验(RCT)中重复了这些令人惊讶的发现,其中一家小额信贷机构从104个社区中随机选择了52个首先进入。在所有社区接受治疗四年后,早期进入社区的家庭获得信贷的时间更长,贷款规模也更大。我们再次发现,这些社区的家庭之间的社会关系更少,即使是那些以前不太可能借钱的家庭。由于研究结果表明了全球溢出效应,这在通常的网络形成模型中是不典型的,因此我们开发了一个新的网络形成动态模型,该模型强调偶遇,其中社会化的努力产生了全球网络层面的外部性。最后,我们分析了非正式借贷和消费对收入波动的敏感性。不太可能接受小额信贷的家庭在非正式借贷和风险分担方面遭受的损失最大,这凸显了外部性的全球性质。
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来源期刊
CiteScore
10.40
自引率
3.40%
发文量
75
期刊介绍: Founded in 1933 by a group of young British and American economists, The Review of Economic Studies aims to encourage research in theoretical and applied economics, especially by young economists. Today it is widely recognised as one of the core top-five economics journals. The Review is essential reading for economists and has a reputation for publishing path-breaking papers in theoretical and applied economics. The Review is committed to continuing to publish strong papers in all areas of economics. The Editors aim to provide an efficient and high-quality review process to the Review''s authors. Where articles are sent out for full review, authors receive careful reports and feedback. Since 1989 The Review has held annual May Meetings to offer young students in economics and finance the chance to present their research to audiences in Europe.
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