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

Brigham R. Frandsen and Lars Lefgren ()

No 24616, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: C01 I21 (search for similar items in EconPapers)
Date: 2018-05
New Economics Papers: this item is included in nep-ecm
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