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

59 Pages Posted: 25 May 2018 Last revised: 6 Apr 2022

See all articles by Brigham R. Frandsen

Brigham R. Frandsen

Brigham Young University - Department of Economics

Lars John Lefgren

Brigham Young University - Department of Economics

Date Written: May 2018

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

Frandsen, Brigham R. and Lefgren, Lars John, Partial Identification of the Distribution of Treatment Effects with an Application to the Knowledge is Power Program (Kipp) (May 2018). NBER Working Paper No. w24616, Available at SSRN: https://ssrn.com/abstract=3182215

Brigham R. Frandsen (Contact Author)

Brigham Young University - Department of Economics ( email )

130 Faculty Office Bldg.
Provo, UT 84602-2363
United States

Lars John Lefgren

Brigham Young University - Department of Economics ( email )

130 Faculty Office Bldg.
Provo, UT 84602-2363
United States

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