Introduction
The member states of the United Nations have committed to achieving the Millennium
Development Goals (MDGs), including the goal of halving extreme poverty by 2015.
Microfinance is recognized as an effective development intervention for poverty reduction.
The Consultative Group to Assist the Poor (CGAP) estimates that of the nearly three billion
poor/low income people who could benefit from formal financial services, only 500 million
have access. In rural areas, such access is needed most for agricultural activities. In urban
areas, possible microfinance clients are mostly vendors, small traders, cottage industry
workers, and low-wage earners.
While microfinance is recognized for its ability to reduce poverty, to what extent and how to
implement it is unknown, due in part to common methodological problems of all impact
studies.
This study aims to assess the impact of Khushhali Bank (KB), the leading microfinance bank
in Pakistan, on specific targets consistent with MDGs. This study is the second study using
the same set of data, but it adopted a different research methodology. The first study,
conducted by Montgomery in 2005, assumed no self-selection bias occurred, whereas this
study adopted econometric methods to address that issue. This study aims to facilitate
Khushhali Bank's adjustments to maximize Pakistani poverty reduction.
Following the Introduction, Section II reviews literature on the impacts of microfinance on
MDGs and research methodologies used in impact studies. Section III describes the case
study, the Khushhali Bank, the survey, and a summary of client characteristics. Section IV
discusses the issue of selectivity bias and the use of Propensity Score Matching. Sections VVII
estimate and discuss the impact of Khushhali Bank's lending program on key welfare
indicators. Section VIII presents the conclusions.
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The views expressed in this paper are the views of the authors and do not necessarily reflect the views or policies of the Asian Development Bank Institute (ADBI), the Asian Development Bank (ADB), its Board of Directors, or the governments they represent. ADBI does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequences of their use. Terminology used may not necessarily be consistent with ADB official terms.
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