Social Connections and Group Banking
By Dean S. Karlan. 2007
574 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Urban Studies
View Paper: https://www.semanticscholar.org/paper/c8687b98d7002d62b6e3856711a0f4a254cbfddc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- Asli Demirgüç-Kunt
- Thorsten Beck
- Susanna Khavul
- Abhijit Banerjee
- Patrick Honohan
- Ross Levine
- Esther Duflo
- Christian Ahlin
In Economics and Econometrics
- Asli Demirgüç-Kunt
- Thorsten Beck
- Abhijit Banerjee
- Susanna Khavul
- Esther Duflo
- Ross Levine
- Patrick Honohan
- Maren Duvendack
In Urban Studies
- Thorsten Beck
- Asli Demirgüç-Kunt
- Esther Duflo
- Emily Breza
- Abhijit Banerjee
- Arun G. Chandrasekhar
- Christian Ahlin
- R. Palmer-jones
Citations in the corpus
- THE EMPIRICS OF MICROFINANCE: WHAT DO WE KNOW? (2007, unknown): “ Karlan (2007) is able to circumvent this endogeneity problem by making use of a natural experiment, which allows him to rule out the possibility that the nature social connections correlates with other group characteristics influencing repayment.”
- The Benefits and Costs of Microfinance: Evidence from Bangladesh (2008, background): “Karlan (2007) finds that more socially connected groups perform better.”
- Political Connections and Allocative Distortions (2015, unknown): “…Geithner benefitted from the appointment of socially connected people during the 15Insurance and risk-sharing (Townsend 1994), social collateral (Karlan 2007), peer effects (Sacerdote 2001; Lerner and Malmendier 2013; Shue 2013; Fracassi 2014), information flow (Bandiera and Rasul 2006; Conley…”
- The Effects of Corporate and Country Sustainability Characteristics on The Cost of Debt: An International Investigation (2014, unknown): “Karlan (2007) shows that cultural similarity and geographic proximity have significant effects in group lending outcomes.”
- Peer-to-Peer Crowdfunding: Information and the Potential for Disruption in Consumer Lending (2015, unknown): “Exceptions include Karlan and Zinman (2009); who study consumer loans in South Africa; Adams, Einav and Levin (2009), who study subprime auto loans; and Guiso, Sapienza and Zingales (2014), Eberly and Krishnamurthy (2014) and Morse and Tsoutsoura (2013), who study repayment moral hazard in mortgage ”
- The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform (2019, background): “…in borrower screening and can reduce information asymmetries in banking — see Petersen and Rajan (1994); Boot and Thakor (2000); Berger and Udell (2002); Petersen (2004); Berger, Miller, Petersen, Rajan and Stein (2005); Stein (2002), Karlan(2007); Iyer and Puri (2012); and Schoar (2012).”
- Contract Structure, Risk Sharing and Investment Choice (2011, methodology): “15 14The three GSS questions are the same as those used by Giné, Jakiela, Karlan, and Morduch (2007) and Cassar, Crowley, and Wydick (2007). Back-translated from the Tamil, they are: (1) Generally speaking, would you say that people can be trusted or that you cant be too careful in dealing with pe”
- Systematic Review. What is the evidence of the impact of microfinance on the well-being of poor people? (2011, background): “Probably the most authoritative studies are by Pitt and Khandker (1998) (PnK), and Khandker (1998 and 2005) (see also related papers Pitt et al.”
- Supply‐Chain Research Opportunities with the Poor as Suppliers or Distributors in Developing Countries (2014, background): “…of optimal interest-rate for lenders to charge for those micro-loans (Conning 1999), and (e) the impact of group lending vs. individual lending especially when group lending enables group members to screen , monitor , and enforce each other’s loans for reducing default risk (Karlan 2003, 2007).”
- Microcredit Under the Microscope: What Have We Learned in the Past Two Decades, and What Do We Need to Know? (2013, background): “Unlike in Karlan (2007), ethnic/clan-based heterogeneity has no effect, but heterogeneity in the percent of life lived in the area does.”
- Giving Credit Where It Is Due (2010, methodology): “And, using the fact that FINCA Peru forms groups in a quasi-random way (on a first come-first served basis), Karlan (2007) finds that people who live closer to each other or who share cultural affinities also save more in microfinance groups, and are less likely to default on loans to each other.”
- How does microfinance enhance entrepreneurial outcomes in emerging economies? The mediating mechanisms of psychological and social capital (2014, background): “The extent to which microfinance supports poverty alleviation in emerging market economies has been the focus of a growing body of research in the field of development economics (Cassar et al., 2007; Feigenburg et al., 2010; Gine and Karlan, 2008; Karlan, 2007; Zeller, 1998).”