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Ancillary Studies of Experiments: Opportunities and Challenges

Author

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  • Baldwin Kate

    (Assistant Professor of Political Science at Yale University, New Haven, CT, USA)

  • Bhavnani Rikhil R.

    (Assistant Professor of Political Science at the University of Wisconsin–Madison, 110 North Hall, 1050 Bascom Mall Madison, WI 53705, USA)

Abstract

“Ancillary studies of experiments” are a technique whereby researchers use an experiment conducted by others to recover causal estimates of a randomized intervention on new outcomes. The method requires pairing randomized treatments the researchers did not oversee with data on outcomes that were not the focus of the original experiment. Since ancillary studies rely on interventions that have already been undertaken, oftentimes by governments, they can provide a low-cost method with which to identify effects on a wide variety of outcomes. We define this technique, identify the small but growing universe of papers that employ ancillary studies of experiments in political science and economics, and assess the benefits and limitations of the method.

Suggested Citation

  • Baldwin Kate & Bhavnani Rikhil R., 2015. "Ancillary Studies of Experiments: Opportunities and Challenges," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 113-146, June.
  • Handle: RePEc:bpj:globdv:v:6:y:2015:i:1:p:113-146:n:3
    DOI: 10.1515/jgd-2014-0010
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    Cited by:

    1. Gisselquist Rachel M. & Niño-Zarazúa Miguel, 2015. "What Can Experiments Tell Us About How to Improve Government Performance?," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 1-45, June.
    2. Heath, Davidson & Ringgenberg, Matthew C. & Samadi, Mehrdad & Werner, Ingrid M., 2019. "Reusing Natural Experiments," Working Paper Series 2019-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    3. Dragan Filipovich & Miguel Niño-Zarazúa & Alma Santillán Hernández, 2018. "Campaign externalities, programmatic spending, and voting preferences in rural Mexico: The case of Progresa-Oportunidades-Prospera programme," WIDER Working Paper Series wp-2018-27, World Institute for Development Economic Research (UNU-WIDER).
    4. Dragan Filipovich & Miguel Niño-Zarazúa & Alma Santillán Hernández, 2018. "Campaign externalities, programmatic spending, and voting preferences in rural Mexico: The case of Progresa-Oportunidades-Prospera programme," WIDER Working Paper Series 027, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    ancillary studies; causal inference; downstream experiments; experimental methods; government performance; research design;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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