Identifying effects of multivalued treatments

Sokbae (Simon) Lee and Bernard Salanié

No 72/15, CeMMAP working papers from 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 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.

Date: 2015-12-08
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https://www.cemmap.ac.uk/wp-content/uploads/2020/08/CWP7215.pdf (application/pdf)

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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Persistent link: https://EconPapers.repec.org/RePEc:azt:cemmap:72/15

DOI: 10.1920/wp.cem.2015.7215

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