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Should the Randomistas (Continue to) Rule?

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  • Martin Ravallion

Abstract

The rising popularity of randomized controlled trials (RCTs) in development applications has come with continuing debates about the merits of this approach. The paper takes stock of the issues. It argues that an unconditional preference for RCTs is questionable on three main counts. First, the case for such a preference is unclear on a priori grounds. For example, with a given budget, even a biased observational study can come closer to the truth than a costly RCT. Second, the ethical objections to RCTs have not been properly addressed by advocates. Third, there is a risk of distorting the evidence-base for informing policymaking, given that an insistence on RCTs generates selection bias in what gets evaluated. Going forward, pressing knowledge gaps should drive the questions asked and how they are answered, not the methodological preferences of some researchers. The gold standard is the best method for the question at hand.

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  • Martin Ravallion, 2020. "Should the Randomistas (Continue to) Rule?," NBER Working Papers 27554, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:27554
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    1. Stéphane J. Baele, 2013. "The ethics of New Development Economics: is the Experimental Approach to Development Economics morally wrong?," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 7(1), November.
    2. Abhijit V. Banerjee & Esther Duflo, 2009. "The Experimental Approach to Development Economics," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 151-178, May.
    3. Arthur Alik‐Lagrange & Martin Ravallion, 2019. "Estimating within‐cluster spillover effects using a cluster randomization with application to knowledge diffusion in rural India," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(1), pages 110-128, January.
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    2. Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," GLO Discussion Paper Series 1147, Global Labor Organization (GLO).
    3. Charles Yuji Horioka, 2021. "Is the selfish life-cycle model more applicable in Japan and, if so, why? A literature survey," Review of Economics of the Household, Springer, vol. 19(1), pages 157-187, March.
    4. Giovanni Abbiati & Davide Azzolini & Anja Balanskat & Katja Engelhart & Daniela Piazzalunga & Enrico Rettore & Patricia Wastiau, 2023. "Effects of an Online Self-Assessment Tool on Teachers’ Digital Competencies," FBK-IRVAPP Working Papers 2023-01, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    5. Juan Andrés Cabral & Florencia Iara Pucci, 2020. "¿Cuál es el alcance de la revolución de la credibilidad?," Asociación Argentina de Economía Política: Working Papers 4318, Asociación Argentina de Economía Política.
    6. Fatoumata Nankoto Cissé, 2022. "How impact evaluation methods influence the outcomes of development projects? Evidence from a meta-analysis on decentralized solar nano projects," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03623394, HAL.
    7. Carmen Camacho & Hannes Tepper, 2023. "Do this or do that? A model to prioritize reforms," Working Papers halshs-04005785, HAL.
    8. Felix Naschold & Christopher B. Barrett, 2020. "A stochastic dominance approach to program evaluation with an application to child nutritional status in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 871-886, November.
    9. Ravallion, Martin, 2020. "Highly prized experiments," World Development, Elsevier, vol. 127(C).
    10. Vikram Tyagi & Sophie Webber, 2021. "A rusting gold standard: Failures in an Indonesian RCT, and the implications for poverty reduction," Environment and Planning A, , vol. 53(5), pages 992-1011, August.
    11. Clotilde Mahé & Philipp Hessel, 2022. "School-age exposure to conditional cash transfers and adult mental health: Evidence from Mexico’s Progresa," Documentos de trabajo 20155, Escuela de Gobierno - Universidad de los Andes.
    12. Hanushek, Eric A., 2021. "Addressing cross-national generalizability in educational impact evaluation," International Journal of Educational Development, Elsevier, vol. 80(C).
    13. Abel Brodeur & Nikolai M. Cook & Jonathan S. Hartley & Anthony Heyes, 2024. "Do Preregistration and Preanalysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(3), pages 527-561.
    14. J. Nicolas Hernandez-Aguilera & Max Mauerman & Alexandra Herrera & Kathryn Vasilaky & Walter Baethgen & Ana Maria Loboguerrero & Rahel Diro & Yohana Tesfamariam Tekeste & Daniel Osgood, 2020. "Games and Fieldwork in Agriculture: A Systematic Review of the 21st Century in Economics and Social Science," Games, MDPI, vol. 11(4), pages 1-22, October.
    15. Simon Feeny & Gill Westhorp & Emma Williams, 2023. "Understanding sustainable outcomes in international development: Towards a realist evaluation framework," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(1), pages 21-42, January.
    16. Carmen Camacho & Hannes Tepper, 2023. "Do this or do that? A model to prioritize reforms," PSE Working Papers halshs-04005785, HAL.
    17. Fatoumata Nankoto Cissé, 2022. "How impact evaluation methods influence the outcomes of development projects? Evidence from a meta-analysis on decentralized solar nano projects," Documents de travail du Centre d'Economie de la Sorbonne 22008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    18. Fuchs, Lisa Elena & Orero, Levi & Apondi, Victoria Atieno & Kipkorir, Lang'at, 2021. "How to stop wasting money in international development: Using a structured group selection approach to counter procedural inefficiency," World Development Perspectives, Elsevier, vol. 24(C).

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    More about this item

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

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