Treatment Effects with Targeting Instruments

Sokbae (Simon) Lee and Bernard Salani\'e

Papers from arXiv.org

Abstract: Multivalued treatments are commonplace in applications. We explore the use of discrete-valued instruments to control for selection bias in this setting. Our discussion revolves around the concept of targeting: which instruments target which treatments. It allows us to establish conditions under which counterfactual averages and treatment effects are point- or partially-identified for composite complier groups. We explore the additional identifying power of a positive selection assumption. We illustrate its usefulness by revisiting the findings of Kline and Walters (2016) on the Head Start Impact Study. We derive informative bounds that suggest less beneficial effects of Head Start expansions than their parametric estimates.

Date: 2020-07, Revised 2026-01
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Working Paper: Treatment effects with targeting instruments (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2007.10432

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