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Identifying Effects of Multivalued Treatments

Sokbae (Simon) Lee () and Bernard Salanié ()

Econometrica, 2018, vol. 86, issue 6, 1939-1963

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
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https://doi.org/10.3982/ECTA14269

Related works:
Working Paper: 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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