Policy-relevant causal effect estimation using instrumental variables with interference

Didier Nibbering and Matthijs Oosterveen

Papers from arXiv.org

Abstract: Many policy evaluations using instrumental variable (IV) methods include individuals who interact with each other, potentially violating the standard IV assumptions. This paper defines and partially identifies direct and spillover effects with a clear policy-relevant interpretation under relatively mild assumptions on interference. Our framework accommodates both spillovers from the instrument to treatment and from treatment to outcomes and allows for multiple peers. By generalizing monotone treatment response and selection assumptions, we derive informative bounds on policy-relevant effects without restricting the type or direction of interference. The results extend IV estimation to more realistic social contexts, informing program evaluation and treatment scaling when interference is present.

Date: 2025-09
References: Add references at CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/2509.12538 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2509.12538

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().