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What Can We Learn From A Doubly Randomized Preference Trial?—An Instrumental Variables Perspective

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  • Burt S. Barnow
  • Coady Wing
  • M. H. Clark

Abstract

The doubly randomized preference trial (DRPT) is a randomized experimental design with three arms: a treatment arm, a control arm, and a preference arm. The design has useful properties that have gone unnoticed in the applied and methodological literatures. This paper shows how to interpret the DRPT design using an instrumental variables (IV) framework. The IV framework reveals that the DRPT separately identifies three different treatment effect parameters: the Average Treatment Effect (ATE), the Average Treatment Effect on the Treated (ATT), and the Average Treatment Effect on the Untreated (ATU). The ATE, ATT, and ATU parameters are important for program evaluation research because in realistic settings many social programs are optional rather than mandatory and some people who are eligible for a program choose not to participate. Most of the paper is concerned with the interpretation of the research design. To make the ideas concrete, the final section provides an empirical example using data from an existing DRPT study.

Suggested Citation

  • Burt S. Barnow & Coady Wing & M. H. Clark, 2017. "What Can We Learn From A Doubly Randomized Preference Trial?—An Instrumental Variables Perspective," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(2), pages 418-437, March.
  • Handle: RePEc:wly:jpamgt:v:36:y:2017:i:2:p:418-437
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    File URL: http://hdl.handle.net/10.1002/pam.21965
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    Cited by:

    1. Keller, Bryan & Wong, Vivian C & Park, Sangbaek & Zhang, Jingru & Sheehan, Patrick & Steiner, Peter M., 2024. "A new four-arm within-study comparison: Design, implementation, and data," OSF Preprints 2gur9, Center for Open Science.
    2. Onur Altindag & Theodore J. Joyce & Julie A. Reeder, 2019. "Can Nonexperimental Methods Provide Unbiased Estimates of a Breastfeeding Intervention? A Within-Study Comparison of Peer Counseling in Oregon," Evaluation Review, , vol. 43(3-4), pages 152-188, June.
    3. Daido Kido, 2023. "Incorporating Preferences Into Treatment Assignment Problems," Papers 2311.08963, arXiv.org.

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