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Microfinance Impact Assessment×Poverty Probability Index×
Lĩnh vựcDevelopment StudiesDevelopment Studies
HọProcess / pipelineProcess / pipeline
Năm ra đời20102005
Người khởi xướngDean Karlan, Jonathan Zinman; Banerjee, Duflo, Glennerster & Kinnan; J-PALMark Schreiner; Grameen Foundation (now Innovations for Poverty Action)
LoạiProgramme impact evaluationPoverty-likelihood scoring instrument
Công trình gốcBanerjee, A., Duflo, E., Glennerster, R., & Kinnan, C. (2015). The Miracle of Microfinance? Evidence from a Randomized Evaluation. American Economic Journal: Applied Economics, 7(1), 22–53. DOI ↗Schreiner, M. (2016). The Poverty Probability Index (PPI): A Brief on Calculating Annual Poverty Rates and Movement Across a Poverty Line. Innovations for Poverty Action / PovertyIndex.org. link ↗
Tên gọi khácMicrocredit Impact Evaluation, Microfinance Impact Evaluation, Microcredit Impact Assessment, Microsavings Impact AssessmentPPI, Progress out of Poverty Index, Poverty Scorecard, Poverty Likelihood Scorecard
Liên quan44
Tóm tắtMicrofinance impact assessment is the set of methods used to measure the causal effects of small loans, savings, and related financial services — long promoted as a tool against poverty — on borrowers' income, business activity, consumption, and empowerment. After two decades in which observational studies reported large gains, a wave of randomized evaluations from around 2010 onwards, exemplified by Banerjee, Duflo, Glennerster, and Kinnan's Hyderabad study with Spandana and Karlan and Zinman's randomised credit-scoring work, delivered a more sober and credible verdict.The Poverty Probability Index (PPI), formerly the Progress out of Poverty Index, is a simple, country-specific scorecard that estimates the likelihood that a household is living below a given poverty line. Developed by Mark Schreiner and disseminated first by the Grameen Foundation and later by Innovations for Poverty Action, it reduces poverty measurement to ten easy-to-answer, verifiable questions about household characteristics. The answers produce a score from 0 to 100, which a calibration table converts into the probability that the household falls below national or international poverty lines — a low-cost alternative to a full consumption survey for organizations that need to track the poverty profile of the people they serve.
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