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What drives profits in savings groups? Bayesian data mining evidence from the SAVIX database

Author

Listed:
  • Rolando Gonzales

  • Bert d'Espallier
  • Roy Mersland

    (UIA - University of Agder)

Abstract

Savings groups provide savings and loans to low-income individuals in rural and periurban areas. This study applies Bayesian data mining methods to a database of more than 200,000 savings groups with the aim of identifying which micro, meso, and macro factors are associated to profit generation in the groups. The results show that the facilitation mechanisms of development agencies and the macro-economic environment are more important than internal group dynamics for profit generation. The findings suggest that the focus of development agencies on bottom-of-the-pyramid groups creates wealth for communities in countries with a more dispersed and rural population. However, the generation of profits depends on the graduation of groups and the facilitation model implemented by a development agency.

Suggested Citation

  • Rolando Gonzales & Bert d'Espallier & Roy Mersland, 2021. "What drives profits in savings groups? Bayesian data mining evidence from the SAVIX database," Post-Print hal-05221036, HAL.
    • Handle: RePEc:hal:journl:hal-05221036
    Note: View the original document on HAL open archive server: https://hal.science/hal-05221036v1
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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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