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El Micro-Crédito logró reducir la pobreza y empoderar a la mujer a nivel sub-nacional en Bolivia: Evidencia de un Modelo Espacial Bayesiano Cuasi-Experimental

Author

Listed:
  • Rolando Gonzales

    (Instituto Bayesiano para la Investigación & Desarrollo)

  • Patricia Aranda

    (Instituto Bayesiano para la Investigación & Desarrollo)

Abstract

Gonzales et al. (2017) desarrollan un modelo espacial Bayesiano cuasi-experimental para evaluar el impacto social del micro-crédito a nivel municipal en Bolivia, y encuentran que las micro-finanzas tuvieron un impacto positivo en la reducción de la pobreza y el empoderamiento de las mujeres en este país. Asimismo, se discute los resultados de este trabajo en el contexto de los lineamientos de la Ley de Servicios Financieros y la Agenda Patriótica 2025 de Bolivia.

Suggested Citation

  • Rolando Gonzales & Patricia Aranda, 2017. "El Micro-Crédito logró reducir la pobreza y empoderar a la mujer a nivel sub-nacional en Bolivia: Evidencia de un Modelo Espacial Bayesiano Cuasi-Experimental," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, vol. 2(1), pages 7-49, Diciembre.
    • Handle: RePEc:efp:journl:v:2:y:2017:i:1:p:7-49
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    More about this item

    Keywords

    Métodos Bayesianos; Micro-crédito; Estadística Espacial; 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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