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Best Practices in Causal Inference for Evaluations of Section 1115 Eligibility and Coverage Demonstrations

Author

Listed:
  • Kara Contreary
  • Katharine Bradley
  • Sandra Chao

Abstract

This guide, which uses examples from recent reforms for adult Medicaid beneficiaries, is intended to support demonstration states by describing best practices in causal inference.

Suggested Citation

  • Kara Contreary & Katharine Bradley & Sandra Chao, "undated". "Best Practices in Causal Inference for Evaluations of Section 1115 Eligibility and Coverage Demonstrations," Mathematica Policy Research Reports 1814ed988b2f46d9bdfe25e93, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:1814ed988b2f46d9bdfe25e93e6f9964
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/health/2018/causal-inference-section-1115.pdf
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    References listed on IDEAS

    as
    1. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    2. James D. Reschovsky & Jessica Heeringa & Maggie Colby, "undated". "Selecting the Best Comparison Group and Evaluation Design: A Guidance Document for State Section 1115 Demonstration Evaluations," Mathematica Policy Research Reports 1c62af02c376466bbed3333eb, Mathematica Policy Research.
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    More about this item

    Keywords

    1115 demonstrations; Medicaid; implementation; evaluation; causal inference;
    All these keywords.

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