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Cross-Sectional Impact Analysis: Bias from Dropouts

Cross-Sectional Impact Analysis: Bias from Dropouts © Koninklijke Brill NV, Leiden, 2010 DOI: 10.1163/156914910X499714 PGDT 9 (2010) 270-291 brill.nl/pgdt P E R S P E C T I V E S O N G L O B A L D E V E L O P M E N T A N D T E C H N O L O G Y Cross-Sectional Impact Analysis: Bias from Dropouts * Gwendolyn Alexander Tedeschi a and Dean Karlan b a) Manhattan College, Department of Economics and Finance, USA gwendolyn.tedeschi@gmail.com b) Yale University, Innovations for Poverty Action, Financial Access Initiative, USA dean.karlan@yale.edu Abstract To assess the impact of microcredit programs, several microfinance organizations have begun using a management tool developed by Assessing the Impact of Microenterprise Services (AIMS) at the United States Agency for International Development (USAID). This tool recom- mends comparing veteran members to new members of a microcredit program, and attributes any difference to the impact of the program. The tool introduces a potential source of bias into estimates of impact by not instructing organizations to include program dropouts in their cal- culations. This paper uses data from a longitudinal study in Peru of Mibanco borrowers and non-borrowers to quantify some, but not all, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Perspectives on Global Development and Technology Brill

Cross-Sectional Impact Analysis: Bias from Dropouts

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References (16)

Publisher
Brill
Copyright
© 2010 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
1569-1500
eISSN
1569-1497
DOI
10.1163/156914910X499714
Publisher site
See Article on Publisher Site

Abstract

© Koninklijke Brill NV, Leiden, 2010 DOI: 10.1163/156914910X499714 PGDT 9 (2010) 270-291 brill.nl/pgdt P E R S P E C T I V E S O N G L O B A L D E V E L O P M E N T A N D T E C H N O L O G Y Cross-Sectional Impact Analysis: Bias from Dropouts * Gwendolyn Alexander Tedeschi a and Dean Karlan b a) Manhattan College, Department of Economics and Finance, USA gwendolyn.tedeschi@gmail.com b) Yale University, Innovations for Poverty Action, Financial Access Initiative, USA dean.karlan@yale.edu Abstract To assess the impact of microcredit programs, several microfinance organizations have begun using a management tool developed by Assessing the Impact of Microenterprise Services (AIMS) at the United States Agency for International Development (USAID). This tool recom- mends comparing veteran members to new members of a microcredit program, and attributes any difference to the impact of the program. The tool introduces a potential source of bias into estimates of impact by not instructing organizations to include program dropouts in their cal- culations. This paper uses data from a longitudinal study in Peru of Mibanco borrowers and non-borrowers to quantify some, but not all,

Journal

Perspectives on Global Development and Technology – Brill

Published: Jan 1, 2010

Keywords: attrition; program evaluation; impact methodologies; microfinance; Peru

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