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Bounding ATE with ITT

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Author Info
Ito, Seiro
Abstract

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.

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File URL: http://ir.ide.go.jp/dspace/bitstream/2344/571/1/ARRIDE_Discussion_No.106_ito.pdf
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File Function: First version, 2007
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Paper provided by Institute of Developing Economies, Japan External Trade Organization(JETRO) in its series IDE Discussion Papers with number 106.

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Date of creation: May 2007
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Publication status: Published in IDE Discussion Paper. No. 106. 2007.5
Handle: RePEc:jet:dpaper:dpaper106

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Related research
Keywords: Intention-to-treat (ITT) estimator Compliers' average treatment effect (CACE) estimator ATE estimator Bounds Economics Econometrics India

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
O15 - Economic Development, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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