Microcredit in Theory and Practice: Using Randomized Credit Scoring for Impact Evaluation
Dean Karlan; Jonathan Zinman · 2011 · Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Microcredit institutions spend billions of dollars fighting poverty by making small loans primarily to female entrepreneurs. Proponents argue that microcredit mitigates market failures, spurs micro-enterprise growth, and boosts borrowers'…
Excerpt shown for reference under fair use — read the full paper at the publisher.
Hosted by the publisher — may require access.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1126/science.1200138
