EconPapers    
Economics at your fingertips  
 

Revisiting Randomization with the Cube Method

Laurent Davezies, Guillaume Hollard and Pedro Vergara Merino

Papers from arXiv.org

Abstract: We propose a novel randomization approach for randomized controlled trials (RCTs), based on the cube method developed by Deville and Till\'e (2004). The cube method allows for the selection of balanced samples across various covariate types, ensuring consistent adherence to balance tests and, whence, substantial precision gains when estimating treatment effects. We establish several statistical properties for the population and sample average treatment effects under randomization using the cube method. We formally derive and compare bounds on imbalances depending on the number of units $n$ and the number of covariates $p$ considered for the balancing. We show that our randomization approach outperforms methods proposed in the literature when $p$ is large and $p/n$ tends to 0. We run simulation studies to illustrate the substantial gains from the cube method for a large set of covariates.

Date: 2024-07, Revised 2025-03
New Economics Papers: this item is included in nep-ecm and nep-exp
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/2407.13613 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:2407.13613

Access Statistics for this paper

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

 
Page updated 2025-03-30
Handle: RePEc:arx:papers:2407.13613