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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.

New Economics Papers: this item is included in nep-dcm and nep-ecm
Date: 2018-04
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http://arxiv.org/pdf/1805.00057 Latest version (application/pdf)

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