Identifying effects of multivalued treatments

Sokbae (Simon) Lee and Bernard Salanié

No CWP72/15, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

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 e?ects can be identi?ed 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 identi?cation power of discrete instruments.

Date: 2015-12-08
New Economics Papers: this item is included in nep-dcm and nep-net
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Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Identifying Effects of Multivalued Treatments (2018)
Working Paper: Identifying Effects of Multivalued Treatments (2018)
Working Paper: Identifying effects of multivalued treatments (2018)
Working Paper: Identifying effects of multivalued treatments (2015)
Working Paper: Identifying Effects of Multivalued Treatments (2015)
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