Identifying Effects of Multivalued Treatments

Sokbae (Simon) Lee and Bernard Salani\'e

Papers from arXiv.org

Abstract: Multivalued treatment models have typically been studied under restrictive assumptions: ordered choice, and more recently unordered monotonicity. We show how treatment effects can be identified in a more general class of models that allows for multidimensional unobserved heterogeneity. 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. We illustrate our approach for several classes of models.

Date: 2018-04
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Citations: View citations in EconPapers (34)

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http://arxiv.org/pdf/1805.00057 Latest version (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 (2015)
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:arx:papers:1805.00057

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