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Evaluating Aid Impact

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Author Info
White, Howard

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Abstract

The ultimate measure of aid effectiveness is how aid ffects the lives of poor people in developing countries. The huge literature on aid’s macroeconomic impact has remarkably little to say on this topic, and less still in terms of practical advice to government officials and aid administrators on how to improve development effectiveness. But there is an expanding toolbox of approaches to impact evaluation at the field level which can answer both questions of whether aid works, and, properly applied, why it works (or not, as the case may be). This paper lays out these approaches, describing some of their uses by official development agencies. I advocate a theory based approach to impact evaluation design, as this is most likely to yield policy insights. Academics need to engage in these real world issues and debates if their work is to help alleviate the plight of the world’s poor.

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File URL: http://mpra.ub.uni-muenchen.de/6716/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 6716.

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Date of creation: Nov 2007
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Handle: RePEc:pra:mprapa:6716

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Related research
Keywords: aid effectiveness; impact evaluation; quasi-experimental design; results agenda;

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Find related papers by JEL classification:
O1 - Economic Development, Technological Change, and Growth - - Economic Development
O22 - Economic Development, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
O3 - Economic Development, Technological Change, and Growth - - Technological Change
O12 - Economic Development, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule To Estimate The Effect Of Class Size On Scholastic Achievement," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 533-575, May. [Downloadable!] (restricted)
  2. Banerjee, Abhijit & Cole, Shawn & Duflo, Esther & Linden, Leigh, 2006. "Remedying Education: Evidence from Two Randomized Experiments in India," CEPR Discussion Papers 5446, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  3. Benjamin A. Olken, 2005. "Monitoring Corruption: Evidence from a Field Experiment in Indonesia," NBER Working Papers 11753, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Glewwe, Paul & Kremer, Michael & Moulin, Sylvie & Zitzewitz, Eric, 2004. "Retrospective vs. prospective analyses of school inputs: the case of flip charts in Kenya," Journal of Development Economics, Elsevier, vol. 74(1), pages 251-268, June. [Downloadable!] (restricted)
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  5. Sebastian Galiani & Ernesto Schargrodsky, 2005. "Property Rights for the Poor: Effects of Land Titling," Business School Working Papers proprightspoor, Universidad Torcuato Di Tella. [Downloadable!]
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This page was last updated on 2009-11-27.


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