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Microcredit and poverty reduction in Bangladesh: average effects beyond publication bias created by Sefa Awaworyi Churchill, Jeffrey Korankye Danso and Samuelson Appau

By: Contributor(s): Material type: TextTextSeries: Enterprise Development & Microfinance ; Volume 27, number 3United Kingdom: Practical Action Publishing, 2016Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 17551978
Subject(s): LOC classification:
  • HG178.3 ENT
Online resources: Abstract: We review the empirical evidence on the impact of microcredit on poverty in Bangladesh. Drawing on evidence from eight empirical studies with 221 estimates, we examine the impact of microcredit on three proxies of poverty – income, assets, and consumption/expenditure. After addressing issues of publication selection bias, we find that the effect of microcredit on assets and income is statistically not significant. Evidence shows a positive but weak effect of microcredit on consumption/expenditure. Meta-regression analysis reveals that sources of variations in the existing literature such as study design, data characteristics and empirical methodology can explain the differences in reported estimates.
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Item type Current library Call number Vol info Copy number Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections HG178.3 ENT (Browse shelf(Opens below)) Vol. 27, no. 3 (pages 204-218) SP26287 Not for loan For in house use

We review the empirical evidence on the impact of microcredit on poverty in Bangladesh. Drawing on evidence from eight empirical studies with 221 estimates, we examine the impact of microcredit on three proxies of poverty – income, assets, and consumption/expenditure. After addressing issues of publication selection bias, we find that the effect of microcredit on assets and income is statistically not significant. Evidence shows a positive but weak effect of microcredit on consumption/expenditure. Meta-regression analysis reveals that sources of variations in the existing literature such as study design, data characteristics and empirical methodology can explain the differences in reported estimates.

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