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Randomised Trials As A Dead-End For African Development

Bibliographic Data

ID12124697
AuthorsSophie Merit Müller (0000-0001-5892-0609, University of Johannesburg, corresponding author)
Year2024
Volume49
Issue1
Publication date2024-07-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAfrica Development (JOURNAL)
Journal identifiersISSN: 0850-3907 • E-ISSN: 2521-9863
PublisherCouncil for the Development of Social Science Research in Africa (PUBLISHER • SN)
DOI10.57054/ad.v49i1.5615
OpenAlexW4400482249
LanguageEN
Citations received2
References cited13

Randomised Control Trials (RCTs) have been presented as a method for identifying interventions that will improve the lives of residents of economically poorer countries. I argue that RCT-driven development policy is unlikely to achieve even its narrower objectives and, instead, is likely to hinder the attainment of long-term economic and social development objectives in African countries. The article examines two fundamental methodological problems: first, that proselytisers of this approach, despite claims to the contrary, have not addressed the challenge of extrapolating from experimental results to policy interventions; second, that while the use of RCTs is framed as an objective scientific approach to policymaking, it systematically smuggles in the ideological and other biases of the researchers involved. These claims are illustrated with three sets of examples: controversial studies that involved cutting off water to poor households in Nairobi and randomising exposure to a Christian missionary programme in the Philippines; studies on civil servant absenteeism in Kenya and India cited in the 2019 Nobel award; and two case studies from South Africa pertaining to labour market and educational interventions where RCTs distorted the policy process with negative consequences. The conclusion is that the RCT approach is a dead end for African development

Civil servant · Development economics · Economic growth · Economics · Ideology · Political science · Politics · Psychological intervention · Sociology · Advanced Causal Inference Techniques · Agricultural risk and resilience · Income, Poverty, and Inequality · Law · Medicine · Nursing

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Unique citing works2
Citations per year0,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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