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Partial Identification of the Distribution of Treatment Effects with an Application to the Knowledge Is Power Program (KIPP)

Author

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  • Brigham R. Frandsen
  • Lars J. Lefgren

Abstract

We bound the distribution of treatment effects under plausible and testable assumptions on the joint distribution of potential outcomes, namely that potential outcomes are mutually stochastically increasing. We show how to test the empirical restrictions implied by those assumptions. The resulting bounds substantially sharpen bounds based on classical inequalities. We apply our method to estimate bounds on the distribution of effects of attending a Knowledge is Power Program (KIPP) charter school on student academic achievement, and find that a substantial majority of students' math achievement benefitted from attendance, especially those who would have fared poorly in a traditional classroom.

Suggested Citation

  • Brigham R. Frandsen & Lars J. Lefgren, 2018. "Partial Identification of the Distribution of Treatment Effects with an Application to the Knowledge Is Power Program (KIPP)," NBER Working Papers 24616, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24616
    Note: ED LS
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    Cited by:

    1. Mullahy, John, 2018. "Individual results may vary: Inequality-probability bounds for some health-outcome treatment effects," Journal of Health Economics, Elsevier, vol. 61(C), pages 151-162.
    2. John Mullahy, 2018. "Treatment Effects with Multiple Outcomes," NBER Working Papers 25307, National Bureau of Economic Research, Inc.

    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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