Design-Based Multi-Way Clustering

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Auteur
Date

4 septembre 2023

Type de document
Périmètre
Identifiant
  • 2309.01658
Collection

arXiv

Organisation

Cornell University



Sujets proches En

Inspection by sampling

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Luther Yap, « Design-Based Multi-Way Clustering », arXiv - économie


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This paper extends the design-based framework to settings with multi-way cluster dependence, and shows how multi-way clustering can be justified when clustered assignment and clustered sampling occurs on different dimensions, or when either sampling or assignment is multi-way clustered. Unlike one-way clustering, the plug-in variance estimator in multi-way clustering is no longer conservative, so valid inference either requires an assumption on the correlation of treatment effects or a more conservative variance estimator. Simulations suggest that the plug-in variance estimator is usually robust, and the conservative variance estimator is often too conservative.

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