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Revolutionizing Estimation and Inference for Program Evaluation Using Bayesian Methods

Author

Listed:
  • Lauren Vollmer
  • Mariel Finucane
  • Randall Brown

Abstract

Policy makers seek to replace the “thumbs up–thumbs down†of conventional hypothesis testing with statements about the probability that program effects on key outcomes exceed policy-relevant thresholds.

Suggested Citation

  • Lauren Vollmer & Mariel Finucane & Randall Brown, "undated". "Revolutionizing Estimation and Inference for Program Evaluation Using Bayesian Methods," Mathematica Policy Research Reports 97bd3209760441babdd1683ae, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:97bd3209760441babdd1683ae8a24895
    as

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    File URL: https://journals.sagepub.com/doi/10.1177/0193841X18815817
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