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Mar 2013
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Agriculture, Data, Health, Research Methodology
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Jun 2010
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FAI
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Brief
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Answering surveys is usually voluntary, yet much of our knowledge about microfinance depends on the willingness of households and institutions to respond to survey questions. In this study, Financial Access Initiative Managing Director Jonathan Morduch and Jonathan Bauchet explore the implications of voluntary reporting on knowledge about the performance of microfinance institutions, specifically focusing on the MixMarket and Microcredit Summit Campaign databases. They show patterns of systematic biases in microfinance institutions’ choices about which survey to respond to and which specific indicators to report. These patterns in turn affect analyses of key questions on trade-offs between financial and social goals in microfinance. The results highlight the conditional nature of our knowledge and the value of supporting social reporting. |
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Jun 2009
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FAI
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Brief
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Microcredit is commonly credited with reducing poverty, empowering women, and delivering other important impacts, particularly to extremely poor households. Rhetoric, however, has outpaced evidence. Empirical studies are scarce, and existing ones have been influential despite a lack of thorough scrutiny. In this paper, David Roodman and FAI managing director Jonathan Morduch attempt to replicate the two most-noted studies on the impact of microcredit, both based on survey data from Bangladesh collected in the 1990s. Pitt and Khandker (PK, 1998) find that microcredit raises household consumption, especially when lent to women. Khandker (2005) concurs and goes further to say that microcredit has more of an impact on the extremely poor than on the moderately poor. Morduch (1998) finds no evidence for impact on consumption levels, but does find that microcredit. decreases the volatility of consumption. This paper shows that the evidence for impact is weak in all of these studies. But, significantly, it doesn’t find that microcredit causes harm, and it doesn’t prove that the impacts commonly attributed to microcredit—like reducing poverty and empowering women—do not exist. Rather, this paper shows that it’s hard to draw much from these data—and that better answers will need to come from other data sets using other methods. |
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Nov 2007
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FAI
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Brief
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Social scientists rely heavily on self-reported data. But can respondents be trusted to report the truth? In this paper, the authors compared survey self-reports with administrative data and found that nearly 50% of recent borrowers did not report their high-interest consumer loans. Under-reporting appeared to be correlated with several characteristics, in particular gender. Relying strictly on self-reported data may lead to biased inference, and the authors outline some methodological implications for identifying impacts of credit access on borrower behavior and outcomes. Matching female surveyors to female respondents appears to be one low-cost mitigation strategy. The best strategy, however, is to avoid reliance on self-reported data by using lenders’ administrative data or the credit bureau, when feasible. |