The Impacts of Microfinance: Evidence from Joint-Liability Lending in Mongolia

By O. Attanasio, B. Augsburg, Ralph de Haas, E. Fitzsimons, Heike Harmgart. 2015

405 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Safety Research, Soil Science

View Paper: https://www.semanticscholar.org/paper/a66e869b0a41f1dd1532e2481d3f1cfe1337ca74

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Asli Demirgüç-Kunt
2. Thorsten Beck
3. Robert J. Cull
4. Esther Duflo
5. J. Morduch
6. Abhijit Banerjee
7. L. Klapper
8. Rachael Meager

In Safety Research

1. Esther Duflo
2. J. Morduch
3. Abhijit Banerjee
4. Cynthia Kinnan
5. Martina Vojtkova
6. Eustadius Francis Magezi
7. Asli Demirgüç-Kunt
8. Y. Nakano

In Soil Science

1. J. Morduch
2. Esther Duflo
3. Abhijit Banerjee
4. Cynthia Kinnan
5. Martina Vojtkova
6. Asli Demirgüç-Kunt
7. Y. Nakano
8. P. Murthy

Citations in the corpus

• Financial Inclusion and Inclusive Growth: A Review of Recent Empirical Evidence (2017, background): “, 2015), Mongolia (Attanasio et al., 2015), and Morocco (Crepon et al.”
• The impact of microcredit on agricultural technology adoption and productivity: Evidence from randomized control trial in Tanzania (2020, background): “This paper contributes to the literature by conducting RCT to examine the impact of microcredit on the technology adoption and productivity of rice cultivation in Tanzania.”
• Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco (2014, background): “In remote rural areas, such activities are usually managed by male members (1.5 activities, on average, compared to 0.39 for women). We also use a series of qualitative indicators to describe female empowerment such as the capacity of women to make decisions, and their mobility inside and outside th”
• An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference? (2020, background): “The studies range in their sample sizes from around 1,000 households in Mongolia (Attanasio et al., 2015) to around 16,500 households in Mexico (Angelucci et al., 2015).”
• Changes in Social Network Structure in Response to Exposure to Formal Credit Markets (2021, neutral): “…impact of MF entry on average village or neighbourhood level outcomes such as consumption, investment or business profit (Angelucci et al ., 2015; Attanasio et al ., 2015; Augsburg et al ., 2015; Banerjee et al ., 2015b, 2015a; Cr´epon et al ., 2015; Tarozzi et al ., 2015) (see Meager, 2015 for…”
• Can Microfinance Unlock a Poverty Trap for Some Entrepreneurs? (2019, background): “These results are broadly consistent with those of five other RCTs (Attanasio et al. (2015); Augsburg et al. (2015); Crépon et al. (2015); Karlan and Zinman (2009); Tarozzi et al. (2015); Angelucci et al. (2015)).”
• The Miracle of Microfinance? Evidence from a Randomized Evaluation (2013, positive): “(12) Finally, for each of these index outcomes, we report both the standard p-value and the p-value adjusted for multiple hypotheses testing across all the indices. The adjusted p-values are calculated using the step-down procedure of Hochberg (1988), which controls the family-wise error rate for al”
• Understanding the Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of 7 Randomised Experiments (2015, positive): “In this paper I aggregate and synthesise the results from all existing RCTs of expanding access to microcredit: Angelucci et al (2015), Attanasio et al (2015), Augsberg et al (2015), Banerjee et al (2015b), Crepon et al (2015), Karlan and Zinman (2011), and Tarozzi et al (2015).”
• Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments (2017, neutral): “Despite evidence that access to microfinance leads to an increase in borrowing ([4], [10], [48]) and business creation or expansion ([4], [7], [10], [48]), most studies have found that this does not translate into an increase in economic outcomes such as profit, income, labor supply and consumption ”
• Microfinance and economic development (2017, background): “While microfinance borrowers represent less than 2 percent of the population in roughly half of the developing countries for which data are available, they comprise 10-15% of the populations of Bangladesh, Mongolia, and Peru (see Cull et al. 2014, Figure 1).”
• Economic Self-Help group Programs for Improving Women's Empowerment: A Systematic Review (2015, background): “However, new rigorous evidence from RCTs on the impacts of microcredit on poverty reduction and women’s empowerment suggests that the effectiveness of microcredit is at best modest (Attanasio et al., 2015; Augsburg et al., 2015; Banerjee et al., 2015; Crepon et al., 2015).”