Collaborative Research: Informal Networks and Economic Development

合作研究：非正式网络与经济发展

• 批准号: 0431827
• 负责人: Kaivan Munshi
• 金额: --
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-11-01 至 2007-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0431827&HistoricalAwards=false
• 关键词: Collaborative; Research; Informal; Networks; Economic

The economics literature indicates the existence of enforcement problems in any mutual assistance arrangement. However, there is little empirical evidence on the consequences of such problems on economic development. This research will study the effects of informal networks on economic development and the effects of economic development on networks.This research project will model and quantify the role of informal networks in developing economies using two unique data sets describing household behavior across and within sub-caste groups in urban and rural India over the past three decades. Specifically, particular, the research will examine how labor-market networks shape schooling decisions in Mumbai, India where the returns to English language schooling have risen substantially due to the Indian economic reforms of the 1990's, and how rural network performance and viability, have been affected by the economic growth induced by the Indian green revolution. The research will identify (i) the extent to which networks reduce imperfections in credit, insurance and labor markets and change the dynamics of economic development; (ii) factors that break down networks thus and jeopardize social insurance; and (iii) constraints imposed by networks on economic mobility and technology adoption.This research will use sub-caste data to construct the boundaries of networks using geo-coded household and village data to better assess the spatial impacts of local events. Sub-caste data enables the identification of network effects in a much more precise way than in prior work. Sub-caste membership also permits the investigation of performance differences among networks in different markets, including labor and credit markets. The research also studies the costs of networks--- restrictions on interactions between individual members of different networks

经济学文献表明，任何互助安排都存在强制执行问题。 然而，关于这些问题对经济发展的影响，几乎没有经验证据。该研究将研究非正式网络对经济发展的影响以及经济发展对网络的影响。该研究项目将使用两个独特的数据集来描述过去30年来印度城市和农村各次种姓群体之间和内部的家庭行为，并对非正式网络在发展中经济体中的作用进行建模和量化。具体而言，特别是，研究将探讨劳动力市场网络如何塑造在印度孟买的学校教育的决定，其中返回到英语学校教育大幅上升，由于印度的经济改革的20世纪90年代，以及农村网络的性能和可行性，已受到印度绿色革命引起的经济增长。这项研究将查明（一）网络在多大程度上减少信贷、保险和劳动力市场的缺陷，并改变经济发展的动力;（二）破坏网络从而危及社会保险的因素;以及（iii）网络对经济流动性和技术采用的约束。本研究将使用次种姓数据，使用地理信息构建网络边界，对家庭和村庄数据进行编码，以更好地评估当地事件的空间影响。子种姓数据使网络的影响，在一个更精确的方式比以前的工作识别。次种姓成员资格还允许在不同的市场，包括劳动力和信贷市场的网络之间的性能差异的调查。 该研究还研究了网络的成本--不同网络中个体成员之间的互动限制