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A Call for Structured Ethics Appendices in Social Science Papers

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  • Karlan, Dean
  • Asiedu, Edward
  • Lambon-Quayefio, Monica
  • Udry, Christopher

Abstract

Ethics in social science experimentation and data collection are often discussed but rarely articulated in writing as part of research outputs. Although papers typically reference human subjects research approvals from relevant institutional review boards, most recognize that such boards do not carry out comprehensive ethical assessments. We propose a structured ethics appendix to provide details on the following: policy equipoise, role of the researcher, potential harms to participants and nonparticipants, conflicts of interest, intellectual freedom, feedback to participants, and foreseeable misuse of research results. We discuss each of these, and some of the norms and challenging situations of each. We believe that discussing such issues explicitly in appendices of papers, even if briefly, will serve two purposes: more complete communication of ethics can improve discussions of papers and can clarify and improve the norms themselves.

Suggested Citation

  • Karlan, Dean & Asiedu, Edward & Lambon-Quayefio, Monica & Udry, Christopher, 2021. "A Call for Structured Ethics Appendices in Social Science Papers," CEPR Discussion Papers 15725, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:15725
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    6. David K. Evans, 2021. "Florent Bédécarrats, Isabelle Guérin, François Roubaud (Eds.) Randomized Control Trials in the Field of Development: A Critical Perspective Oxford University Press, 2020, 448 p., $100.00," Population and Development Review, The Population Council, Inc., vol. 47(2), pages 551-554, June.
    7. Crawfurd, Lee & Evans, David K. & Hares, Susannah & Sandefur, Justin, 2023. "Live tutoring calls did not improve learning during the COVID-19 pandemic in Sierra Leone," Journal of Development Economics, Elsevier, vol. 164(C).

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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