Identifying Effects of Multivalued Treatments

• Tác giả: Sokbae Lee, Bernard Salanié
• Ngôn ngữ: eng
• Ký hiệu phân loại: 615.7 Pharmacokinetics
• Thông tin xuất bản: 2018
• Bộ sưu tập: Metadata
• ID: 161909

Tóm tắt

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.