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Title: Identifying Effects of Multivalued Treatments

Author(s): Sokbae Lee and Bernard Salaniť

Publication Date: December 2015

Keyword(s): Discrete Choice, Identification, Monotonicity and Treatment evaluation

Programme Area(s): Development Economics and Labour Economics

Abstract: Multivalued treatment models have only been studied so far under restrictive assumptions: ordered choice, or more recently unordered monotonicity. We show how marginal treatment effects can be identified in a more general class of models. Our results rely on two main assumptions: treatment assignment must be a measurable function of threshold-crossing rules; and enough continuous instruments must be available. On the other hand, we do not require any kind of monotonicity condition. We illustrate our approach on several commonly used models; and we also discuss the identification power of discrete instruments.

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Bibliographic Reference

Lee, S and Salaniť, B. 2015. 'Identifying Effects of Multivalued Treatments'. London, Centre for Economic Policy Research. http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=10970