Bias of the regression estimator for experiments using clustered random assignment
Joel A. Middleton
Statistics & Probability Letters, 2008, vol. 78, issue 16, 2654-2659
Abstract:
This paper shows that regression may be biased for cluster randomized experiments. For one application bias tends to zero when the number of clusters is large but for another, regression is not consistent. Results underscore Freedman's [Freedman D.A., 2008. On regression adjustments to experimental data. Advances in Applied Mathematics 40, 180-193] insight that randomization does not justify regression assumptions.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(08)00180-6
Full text for ScienceDirect subscribers only
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:eee:stapro:v:78:y:2008:i:16:p:2654-2659
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().