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Dealing with imperfect randomization: Inference for the highscope perry preschool program.

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Summary
This summary is machine-generated.

This study addresses imperfect randomization in program evaluations by using a partial identification approach. It successfully identified significant program effects on multiple outcomes, including reduced criminal activity.

Keywords:
C31Exact InferenceExperimentsFamilywise Error RateI21Imperfect RandomizationJ13Multiple OutcomesMultiple TestingPermutation TestsPerry Preschool ProgramProgram Evaluation

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Area of Science:

  • Econometrics
  • Causal Inference
  • Program Evaluation

Background:

  • Imperfect randomization complicates program effect estimation.
  • Reassignment of treatment status based on observed/unobserved characteristics poses challenges.

Purpose of the Study:

  • To develop a method for making valid inferences on multiple outcomes with imperfect randomization.
  • To control the familywise error rate in hypothesis testing for program effects.

Main Methods:

  • Partial identification approach utilizing information on randomization imperfections.
  • Development of a procedure for testing a family of null hypotheses.
  • Application to the HighScope Perry Preschool program data.

Main Results:

  • Demonstrated the possibility of nontrivial inferences despite imperfect randomization.
  • Found statistically significant program effects on various outcomes.
  • Identified effects on criminal activity for both males and females.

Conclusions:

  • The proposed methodology effectively handles imperfect randomization and multiple outcomes.
  • The HighScope Perry Preschool program showed significant positive impacts.
  • Robust statistical inferences can be made even with imperfect experimental designs.