Impact of Microfinance Credit Access on Households’ Income and Welfare: Evidence from Ethiopia, Asmamaw Getnet Wassie, lecturer, Department of Economics, Debre Tabor University

Author:

Wassie Asmamaw Getnet1,Taw Tefera Berihun2

Affiliation:

1. Debre Tabor University

2. University of Gondar

Abstract

Abstract This study examined the impact of microfinance credit access on households’ income and welfare evidence from Ethiopia. The main objective of the study is investigating the impact of microfinance credit access on households’ income and welfare. The study used cross sectional data. The study surveyed 422 households. Half of the surveyed households were credit taker but the remaining half did not take the credit. The treatment variable (D) of the study is credit access. The outcome variables of the study are income and welfare of households. The study employed both descriptive and econometric model to achieve the objective of the study. The propensity score matching was employed in the econometric part of the study to estimate the impact of the credit on outcome variable of the study. Among matching methods kernel (0.1) was employed since it satisfies the criterion of best matching between treatment unit and controlled unit. The study found that average treatment effect (ATT) on the treated group in terms of income is less than its counterpart. However, average treatment effect (ATT) on treated group in terms of welfare is greater than the average treatment effect (ATT) on controlled group.

Publisher

Research Square Platform LLC

Reference21 articles.

1. Africa, S., Asia, S., Asia, S., Africa, S., Africa, S., & Goal, S. D. (2016). Definitions and measures of poverty.

2. Alex Bryson, R. D. and S. P. (2002). THE USE OF PROPENSITY SCORE MATCHING IN THE EVALUATION OF ACTIVE LABOUR MARKET POLICIES THE USE OF PROPENSITY SCORE MATCHING IN. Policy Studies Institute and National Centre for Social Research, 4.

3. Bisrat, G., & Paul, I. (2011). ROLE OF MICRO FINANCE IN ALLEVIATING URBAN POVERTY IN ETHIOPIA. 13(6), 165–180.

4. CSA. (2013). Federal Democratic Republic of Ethiopia Central Statistical Agency Population Projection of Ethiopia for All Regions At Wereda Level from 2014–2017. August 2013.

5. Propensity score-matching methods for nonexperimental causal studies;Dehejia RH;Review of Economics and Statistics,2002

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