scispace - formally typeset
Open AccessPosted Content

The Diffusion of Microfinance

TLDR
This article examined how participation in a micro-finance program diffuses through social networks and found that participants are significantly more likely to pass information on to friends and acquaintances than informed non-participants.
Abstract
We examine how participation in a microfinance program diffuses through social networks. We collected detailed demographic and social network data in 43 villages in South India before microfinance was introduced in those villages and then tracked eventual participation. We exploit exogenous variation in the importance (in a network sense) of the people who were first informed about the program, "the injection points". Microfinance participation is higher when the injection points have higher eigenvector centrality. We estimate structural models of diffusion that allow us to (i) determine the relative roles of basic information transmission versus other forms of peer influence, and (ii) distinguish information passing by participants and non-participants. We find that participants are significantly more likely to pass information on to friends and acquaintances than informed non-participants, but that information passing by non-participants is still substantial and significant, accounting for roughly a third of informedness and participation. We also find that, conditioned on being informed, an individual's decision is not significantly affected by the participation of her acquaintances.

read more

Citations
More filters
ReportDOI

Decentralized Targeting of Agricultural Credit Programs: Private versus Political Intermediaries

TL;DR: In this paper, the authors compare two different methods of appointing a local commission agent as an intermediary for a credit program: Trader-Agent Intermediated Lending Scheme (TRAIL) and Gram Panchayat Agent Intermediated-Lending Scheme(GRAIL), and find that TRAIL loans had larger average impacts on borrowers' farm incomes.
Journal ArticleDOI

Improving diffusion in agriculture: an agent-based model to find the predictors for efficient early adopters

TL;DR: Closeness and clusterization emerged as the most important network characteristics for early adopters to be successful in a specific new practice: the use of biodegradable mulching films containing soluble bio-based substances derived from municipal solid wastes.
Journal ArticleDOI

Expectations, network centrality, and public good contributions: Experimental evidence from India

TL;DR: In this article, the authors play a public good game on a star network and find that central players contribute just as much as the average of other players, leading to a large loss of efficiency.
Journal ArticleDOI

Good Samaritans in Networks: An Experiment on How Networks Influence Egalitarian Sharing and the Evolution of Inequality.

TL;DR: It is suggested that social networks make a difference in how egalitarian sharing influences the evolution of inequality, and an agent-based model is proposed to predict how actors, linked in networks, share their incomes with neighbors.
Journal ArticleDOI

Knowledge Exchange and Productivity Spill-Overs in Bangladeshi Garment Factories

TL;DR: In this paper, the authors used data from more than 200 production lines in three garment factories in Bangladesh and found that spatial distance within firms matters greatly for the strengths of productivity spill-overs, while product complexity matters little.
References
More filters
Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.

A Contribution to the Mathematical Theory of Epidemics.

TL;DR: The present communication discussion will be limited to the case in which all members of the community are initially equally susceptible to the disease, and it will be further assumed that complete immunity is conferred by a single infection.
Journal ArticleDOI

A Simple Model of Herd Behavior

TL;DR: In this article, the authors analyze a sequential decision model in which each decision maker looks at the decisions made by previous decision makers in taking her own decision, and they show that the decision rules that are chosen by optimizing individuals will be characterized by herd behavior.
Proceedings ArticleDOI

Maximizing the spread of influence through a social network

TL;DR: An analysis framework based on submodular functions shows that a natural greedy strategy obtains a solution that is provably within 63% of optimal for several classes of models, and suggests a general approach for reasoning about the performance guarantees of algorithms for these types of influence problems in social networks.
Journal ArticleDOI

Epidemic Spreading in Scale-Free Networks

TL;DR: A dynamical model for the spreading of infections on scale-free networks is defined, finding the absence of an epidemic threshold and its associated critical behavior and this new epidemiological framework rationalizes data of computer viruses and could help in the understanding of other spreading phenomena on communication and social networks.