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Research standards in empirical development economics: What’s well begun, is half done

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  • Avdeenko, Alexandra
  • Frölich, Markus

Abstract

The 2019 Economics Nobel Laureates have shed light on how several disciplines can learn from each other to achieve a greater goal. Thanks to their work, economics has begun to follow the methodological and institutional path laid out, amongst others, in medical sciences. The prize creates a momentum in economics to work on areas in which the field still falls short of achievable, higher standards and on more rigor in research transparency, cooperation, and accountability. Yet we also argue that the benefits from the linkage between disciplines are not one-sided. The application and recognition of field experiments as a method in economics have also advanced and enlarged the methodological toolkit on topics such as quasi-experimental method, non-compliance, and mediation analysis. Methods urgently needed to address topics of global concern.

Suggested Citation

  • Avdeenko, Alexandra & Frölich, Markus, 2020. "Research standards in empirical development economics: What’s well begun, is half done," World Development, Elsevier, vol. 127(C).
  • Handle: RePEc:eee:wdevel:v:127:y:2020:i:c:s0305750x19304358
    DOI: 10.1016/j.worlddev.2019.104786
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    References listed on IDEAS

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    1. Benjamin A. Olken, 2015. "Promises and Perils of Pre-analysis Plans," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 61-80, Summer.
    2. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    3. Howard White, 2019. "The twenty-first century experimenting society: the four waves of the evidence revolution," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    4. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    5. Katherine Casey & Rachel Glennerster & Edward Miguel, 2012. "Reshaping Institutions: Evidence on Aid Impacts Using a Preanalysis Plan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(4), pages 1755-1812.
    6. Jens Ludwig & Sendhil Mullainathan & Jann Spiess, 2019. "Augmenting Pre-Analysis Plans with Machine Learning," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 71-76, May.
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    More about this item

    Keywords

    Field experiments; Development of the discipline;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • N01 - Economic History - - General - - - Development of the Discipline: Historiographical; Sources and Methods

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