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Related Experiment Videos

Using performance standards to evaluate social programs with incomplete outcome data. General issues and application

Charles F Manski1, John Newman, John V Pepper

  • 1Northwestern University, USA.

Evaluation Review
|August 15, 2002
PubMed
Summary

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Program evaluation is challenging due to unobserved outcomes and standards. This study explores setting performance standards using prior information to assess program effectiveness despite data limitations.

Area of Science:

  • * Program evaluation methodology
  • * Decision analysis
  • * Econometrics

Background:

  • * Program evaluation aims to measure outcomes against performance standards.
  • * Practical evaluation faces challenges with unobserved outcomes (auxiliary outcomes) and unobserved standards (counterfactual outcomes).

Purpose of the Study:

  • * To examine methods for setting and applying performance standards in program evaluation.
  • * To address the difficulties posed by incomplete outcome data.

Main Methods:

  • * Analysis of how prior information can compensate for missing outcome data.
  • * Framework for combining available data with credible assumptions on treatments and outcomes.

Main Results:

Related Experiment Videos

  • * The optimal implementation of performance standards depends on the evaluator's prior information.
  • * A method is proposed to classify program performance as acceptable, unacceptable, or indeterminate.

    • Conclusions:

    • * Credible prior information is crucial for robust program evaluation.
    • * The approach allows for informed decisions even with incomplete outcome data.