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

Working Paper No. 24616 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 assu...

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Bibliographic Details
Published inNBER Working Paper Series p. 24616
Main Authors Frandsen, Brigham R, Lefgren, Lars J
Format Paper
LanguageEnglish
Published Cambridge National Bureau of Economic Research, Inc 01.05.2018
Subjects
Academic achievement
Economic theory
Education
Knowledge
Stochastic models
United States > US
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Summary:Working Paper No. 24616 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.
ISSN:0898-2937
DOI:10.3386/w24616