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Microcredit was effective in reducing poverty and empowering women at subnational level in Bolivia: Evidence from a Quasi-Experimental Bayesian Spatial Model

Author

Listed:
  • Rolando Gonzales

    (Instituto Bayesiano para la Investigación & Desarrollo")

  • Patricia Aranda

    (Instituto Bayesiano para la Investigación & Desarrollo")

Abstract

Gonzales et al. (2017) developed a quasi-experimental Bayesian spatial model to assess the social impact of microcredit at municipal level in Bolivia and found that microfinance had a positive impact on poverty reduction and empowerment of women in this country. Furthermore, the paper discusses the findings within the context of the guidelines of Bolivia’s Financial Services Law and Patriotic Agenda 2025.

Suggested Citation

  • Rolando Gonzales & Patricia Aranda, 2017. "Microcredit was effective in reducing poverty and empowering women at subnational level in Bolivia: Evidence from a Quasi-Experimental Bayesian Spatial Model," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, vol. 2(1), pages 1-26, December.
    • Handle: RePEc:efp:journl:v:2:y:2017:i:1:p:1-26
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    More about this item

    Keywords

    Bayesian Methods; Microcredit; Spatial Statistics; Matching;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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