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How Often Should We Believe Positive Results? Assessing the Credibility of Research Findings in Development Economics

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  • Coville, Aidan
  • Vivalt, Eva

Abstract

Under-powered studies combined with low prior beliefs about intervention effects increase the chances that a positive result is overstated. We collect prior beliefs about intervention impacts from 125 experts to estimate the false positive and false negative report probabilities (FPRP and FNRP) as well as Type S (sign) and Type M (magnitude) errors for studies in development economics. We find that the large majority of studies in our sample are generally credible. We discuss how more systematic collection and use of prior expectations could help improve the literature.

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  • Coville, Aidan & Vivalt, Eva, 2017. "How Often Should We Believe Positive Results? Assessing the Credibility of Research Findings in Development Economics," MetaArXiv 5nsh3, Center for Open Science.
    • Handle: RePEc:osf:metaar:5nsh3
    DOI: 10.31219/osf.io/5nsh3
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    1. Sarojini Hirshleifer & David McKenzie & Rita Almeida & Cristobal Ridao‐Cano, 2016. "The Impact of Vocational Training for the Unemployed: Experimental Evidence from Turkey," Economic Journal, Royal Economic Society, vol. 126(597), pages 2115-2146, November.
    2. Eva Vivalt, 0. "How Much Can We Generalize From Impact Evaluations?," Journal of the European Economic Association, European Economic Association, vol. 18(6), pages 3045-3089.
    3. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    4. David McKenzie & Christopher Woodruff, 2014. "What Are We Learning from Business Training and Entrepreneurship Evaluations around the Developing World?," The World Bank Research Observer, World Bank, vol. 29(1), pages 48-82.
    5. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
    6. Matthew Groh & Nandini Krishnan & David McKenzie & Tara Vishwanath, 2016. "The impact of soft skills training on female youth employment: evidence from a randomized experiment in Jordan," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-23, December.
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