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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)

Author

Listed:
  • Florent Bédécarrats

    (AFD - Agence française de développement)

  • Isabelle Guérin

    (CESSMA UMRD 245 - Centre d'études en sciences sociales sur les mondes africains, américains et asiatiques - IRD - Institut de Recherche pour le Développement - Inalco - Institut National des Langues et Civilisations Orientales - UPD7 - Université Paris Diderot - Paris 7)

  • Solène Morvant-Roux

    (UNIGE - Université de Genève = University of Geneva)

  • François Roubaud

    (LEDA-DIAL - Développement, Institutions et Modialisation - LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

We replicate a flagship randomised control trial carried out in rural Morocco that showed substantial and significant impacts of microcredit on the assets, the outputs, the expenses and the profits of self-employment activities. The original results rely primarily on trimming, which is the exclusion of observation with the highest values on some variables. However, the applied trimming procedures are inconsistent between the baseline and the endline. Using identical specifications as the original paper reveals large and significant imbalances at the baseline and, at the endline, impacts on implausible outcomes, like household head gender, language or education. This calls into question the reliability of the data and the integrity of the experiment protocol. We find a series of coding, measurement and sampling errors. Correcting the identified errors lead to different results. After rectifying identified errors, we still find substantial imbalances at baseline and implausible impacts at the endline. Our re-analysis focused on the lack of internal validity of this experiment, but several of the identified issues also raise concerns about its external validity.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Florent Bédécarrats & Isabelle Guérin & Solène Morvant-Roux & François Roubaud, 2019. "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)," Post-Print hal-03852233, HAL.
  • Handle: RePEc:hal:journl:hal-03852233
    DOI: 10.18718/81781.12
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    Cited by:

    1. is not listed on IDEAS
    2. 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).

    More about this item

    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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