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Dealing with misfits in random treatment assignment

Author

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  • Alvaro Carril

    (University of Chile)

Abstract

In this article, I discuss the “misfits” problem, a practical issue that arises in random treatment assignment whenever observations cannot be neatly distributed among treatments. I also introduce the randtreat command, which performs random assignment of unequal treatment fractions and provides several methods to deal with misfits.

Suggested Citation

  • Alvaro Carril, 2017. "Dealing with misfits in random treatment assignment," Stata Journal, StataCorp LP, vol. 17(3), pages 652-667, September.
    • Handle: RePEc:tsj:stataj:y:17:y:2017:i:3:p:652-667
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    Citations

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    Cited by:

    1. Kate Ambler & Alan de Brauw & Mike Murphy, 2023. "Increasing the adoption of conservation agriculture: A framed field experiment in Northern Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 54(5), pages 742-756, September.
    2. Mira Bierbaum & Eleonora E M Nillesen, 2021. "Sustaining the integrity of the threatened self: A cluster-randomised trial among social assistance applicants in the Netherlands," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.
    3. Lafortune, Jeanne & Pugatch, Todd & Tessada, José & Ubfal, Diego, 2022. "Can interactive online training make high school students more entrepreneurial? Experimental evidence from Rwanda," GLO Discussion Paper Series 1041, Global Labor Organization (GLO).
    4. Matthew Collin & Vincenzo Di Maro & David K. Evans & Fredrick Manang, 2022. "Property Tax Compliance in Tanzania: Can Nudges Help?," Working Papers 621, Center for Global Development.

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