Testing for heterogeneous treatment effects in experimental data: false discovery risks and correction procedures
We review the statistical models applied to test for heterogeneous treatment effects in the recent empirical literature, with a particular focus on data from randomised field experiments. We show that testing for heterogeneous treatment effects is highly common, and likely to result in a large number of false discoveries when conventional decision rules are applied. We demonstrate that applying correction procedures developed in the statistics literature can fully address this issue, and discuss the implications of multiple testing adjustments for power calculations and experimental design.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 6 (2014)
Issue (Month): 1 (January)
|Contact details of provider:|| Web page: http://www.tandfonline.com/RJDE20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RJDE20|
When requesting a correction, please mention this item's handle: RePEc:taf:jdevef:v:6:y:2014:i:1:p:44-57. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.