We propose the bounds on ATE using intention-to-treat (ITT) estimator when there are compliers/noncompliers in randomized trials. The bounds are given as ITT<ATE<CACE, where compliers’ average treatment effect (CACE) can be computed from ITT and complier ratio. We show that these bounds can be derived from two assumptions: (1) average treatment effect is greater with compliers than noncompliers or CACE>NACE, (2) noncompliers' average treatment effect (NACE) is nonnegative. We give an example of poverty impacts of health insurance, and effects of adverse selection and moral hazard of health insurance.
権利
Copyrights 日本貿易振興機構（ジェトロ）アジア経済研究所 / Institute of Developing Economies, Japan External Trade Organization (IDE-JETRO) http://www.ide.go.jp
雑誌名
IDE Discussion Paper
雑誌名(英)
IDE Discussion Paper
巻
106
発行年
2007-05-01
出版者
Institute of Developing Economies (IDE-JETRO)
著者版フラグ
publisher
日本十進分類法
331.19
JEL分類
JEL:C13 - Estimation
JEL:C93 - Field Experiments
JEL:D82 - Asymmetric and Private Information
JEL:I11 - Analysis of Health Care Markets
JEL:O15 - Human Resources;
地域/国名
インド
世界、その他
キーワード(LSH)
Intention-to-treat (ITT) estimator
Compliers' average treatment effect (CACE) estimator
ATE estimator
Bounds
Economics
Econometrics
India
ITT推定量
治療意図推定量
CACE推定量
ATE推定量
平均治療効果推定量
上下限
経済学
計量経済学
インド
Bounding ATE with ITT
本文
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