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Randomisation and Its Discontents

Randomisation and Its Discontents Randomised control trials have become popular tools in development economics. The key idea is to exploit deliberate or naturally occurring randomisation of treatments in order to make causal inferences about ‘what works’ to promote some development objective. The expression ‘what works’ is crucial: the emphasis is on evidence-based conclusions that will have immediate policy use. No room for good intentions, wishful thinking, ideological biases, Washington Consensus, cost–benefit calculations or even parametric stochastic assumptions. A valuable byproduct has been the identification of questions that other methods might answer, or that subsequent randomised evaluations might address. An unattractive byproduct has been the dumbing down of econometric practice, the omission of any cost–benefit analytics and an arrogance towards other methodologies. Fortunately, the latter are gratuitous, and the former point towards important complementarities in methods to help address knotty, substantive issues in development economics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of African Economies Oxford University Press

Randomisation and Its Discontents

Journal of African Economies , Volume 20 (4) – Aug 19, 2011

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References (68)

Publisher
Oxford University Press
Copyright
© The author 2011. Published by Oxford University Press on behalf of the Centre for the Study of African Economies. All rights reserved. For permissions, please email: journals.permissions@oup.com
Subject
Articles
ISSN
0963-8024
eISSN
1464-3723
DOI
10.1093/jae/ejr030
Publisher site
See Article on Publisher Site

Abstract

Randomised control trials have become popular tools in development economics. The key idea is to exploit deliberate or naturally occurring randomisation of treatments in order to make causal inferences about ‘what works’ to promote some development objective. The expression ‘what works’ is crucial: the emphasis is on evidence-based conclusions that will have immediate policy use. No room for good intentions, wishful thinking, ideological biases, Washington Consensus, cost–benefit calculations or even parametric stochastic assumptions. A valuable byproduct has been the identification of questions that other methods might answer, or that subsequent randomised evaluations might address. An unattractive byproduct has been the dumbing down of econometric practice, the omission of any cost–benefit analytics and an arrogance towards other methodologies. Fortunately, the latter are gratuitous, and the former point towards important complementarities in methods to help address knotty, substantive issues in development economics.

Journal

Journal of African EconomiesOxford University Press

Published: Aug 19, 2011

Keywords: JEL classification C93 D03 O12 B41

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