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Selecting the Best Comparison Group and Evaluation Design: A Guidance Document for State Section 1115 Demonstration Evaluations

Author

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  • James D. Reschovsky
  • Jessica Heeringa
  • Maggie Colby

Abstract

This guidance document focuses on quantitative impact evaluations, which assess the causal effects of an intervention by comparing outcomes under the demonstration’s policies with an estimate of what would have happened under a counterfactual—that is, what would have happened in the absence of those policies or if the policies had been implemented differently.

Suggested Citation

  • 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.
    • Handle: RePEc:mpr:mprres:1c62af02c376466bbed3333ebc91d057
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/health/2018/comparison-grp-eval-dsgn-section-1115.pdf
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    References listed on IDEAS

    as
    1. Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
    2. Robert Moffitt, 1991. "Program Evaluation With Nonexperimental Data," Evaluation Review, , vol. 15(3), pages 291-314, June.
    3. Keith Kranker & So O'Neil & Vanessa Oddo & Miriam Drapkin & Margo Rosenbach, "undated". "Strategies for Using Vital Records to Measure Quality of Care in Medicaid and CHIP Programs," Mathematica Policy Research Reports 4c9ca4dbc4d24cf5ac7dc5923, Mathematica Policy Research.
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    Cited by:

    1. James D. Reschovsky & Katharine Bradley, "undated". "Planning Section 1115 Demonstration Implementation to Enable Strong Evaluation Designs," Mathematica Policy Research Reports 7c4bfb55d1aa43d3a037f0782, Mathematica Policy Research.
    2. 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.

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