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Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrolment

Author

Listed:
  • Samuel D. Pimentel
  • Lauren Vollmer Forrow
  • Jonathan Gellar
  • Jiaqi Li

Abstract

Comparison group selection is paramount for health policy evaluations, where randomization is seldom practicable. Rolling enrolment is common in these evaluations, introducing challenges for comparison group selection and inference.

Suggested Citation

  • Samuel D. Pimentel & Lauren Vollmer Forrow & Jonathan Gellar & Jiaqi Li, "undated". "Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrolment," Mathematica Policy Research Reports a1479c6239c14d1dafd83a1f8, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:a1479c6239c14d1dafd83a1f84761f86
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    File URL: https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12521
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