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Highly prized experiments

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  • Ravallion, Martin

Abstract

The new Nobel prize winners have expertly popularized randomized controlled trials (RCTs) as the “tool-of-choice” for empirical research. The award is a good opportunity to reflect on the role of RCTs in development-policy evaluation. Unbiasedness is the tool’s main virtue; transparency is another. Practitioners should also be aware of some limitations. First, an RCT assigns the treatment in a different way to most real-world policies, which use purposive selection; given heterogeneous impacts, one is evaluating a different intervention. Second, the tool may only be feasible for non-random subsets of both the relevant populations and the policy options, biasing assessments of overall development effectiveness. Third, given budget-constraints and a bias-variance trade-off, a non-RCT may allow a larger sample size, making its trials often closer to the truth. There is a continuing need for a broad range of research methods for addressing pressing knowledge gaps in fighting poverty.

Suggested Citation

  • Ravallion, Martin, 2020. "Highly prized experiments," World Development, Elsevier, vol. 127(C).
    • Handle: RePEc:eee:wdevel:v:127:y:2020:i:c:s0305750x19304735
    DOI: 10.1016/j.worlddev.2019.104824
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    References listed on IDEAS

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    1. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    2. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    3. Martin Ravallion, 2018. "Should the Randomistas (Continue to) Rule?," Working Papers 492, Center for Global Development, revised 17 Jan 2019.
    4. Rachael Meager, 2019. "Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 57-91, January.
    5. Meager, Rachael, 2019. "Understanding the average impact of microcredit expansions: a Bayesian hierarchical analysis of seven randomized experiments," LSE Research Online Documents on Economics 88190, London School of Economics and Political Science, LSE Library.
    6. Independent Evaluation Group, 2012. "World Bank Group Impact Evaluations : Relevance and Effectiveness," World Bank Publications - Books, The World Bank Group, number 13100.
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    Cited by:

    1. Lucas Ronconi & Ana Lúcia Kassouf, 2023. "Demand-Side Obstacles to Publishing Economics Research: A View from the South," Progress in Development Studies, , vol. 23(1), pages 99-105, January.

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    More about this item

    Keywords

    Randomized controlled trials; Bias; Sample selection;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

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