arXiv (All)
open access
Estimating treatment-effect heterogeneity across sites, in multi-site randomized experiments with few units per site
Multi-site randomized experiments, which are common in economics and medicine, can reveal how treatment effects vary across settings. However, differences between site-specific estimates reflect both treatment-effect heterogeneity and estimation noise. We build on established measurement-error corre
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Doubly robust identification of treatment effects from multiple environments#189247
- Sensitivity has Multiple Heterogeneity Problems: a Reply to Wallbridge#752811
- Estimating dynamic models by matching random features#925211
- Estimating dynamic models by matching random features#920976
- Learning Global Sensitivity Indices from Observational Data: A Metamodel-Based Approach#1154601
Record · ID 1013378
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive