Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/73113
Authors: 
Fink, Günther
McConnell, Margaret
Vollmer, Sebastian
Year of Publication: 
2011
Series/Report no.: 
Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät, Universität Hannover 477
Abstract: 
We review the statistical models applied to test for heterogeneous treatment effects in the recent empirical literature, with a particular focus on data from randomized 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 standard errors 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.
Document Type: 
Working Paper

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