Estimating microcredit impact with low take-up, contamination and inconsistent data. A replication study of Crépon, Devoto, Duflo, and Pariente (American Economic Journal: Applied Economics, 2015)
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Suggested Citation
DOI: 10.18718/81781.12
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Other versions of this item:
- Bédécarrats, Florent & Guérin, Isabelle & Morvant-Roux, Solène & Roubaud, François, 2019. "Estimating microcredit impact with low take-up, contamination and inconsistent data. A replication study of Crépon, Devoto, Duflo, and Parienté (American Economic Journal: Applied Economics, 2015)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 3, pages 1-22.
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- Dahal, Mahesh & Fiala, Nathan, 2020. "What do we know about the impact of microfinance? The problems of statistical power and precision," World Development, Elsevier, vol. 128(C).
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JEL classification:
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
- O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
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