
A Bayesian Spatial Propensity Score Matching Evaluation of the Regional Impact of Micro-finance
Author(s) -
Rolando Gonzales,
Patricia Aranda,
Joel Mendizabal
Publication year - 2017
Publication title -
review of economic analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.101
H-Index - 1
ISSN - 1973-3909
DOI - 10.15353/rea.v9i2.1438
Subject(s) - microfinance , propensity score matching , bayesian probability , poverty , empowerment , matching (statistics) , estimator , econometrics , impact evaluation , average treatment effect , geography , economics , statistics , economic growth , mathematics
A Bayesian Spatial-Propensity Score Matching estimator is proposed to measure the regional impact of microfinance on poverty reduction and women's empowerment. The impact of microfinance in Bolivia was tested with this estimator, using census and household survey data. The results suggest that microfinance was useful for poverty reduction and women’s empowerment at municipality level in Bolivia.