A general-purpose method for two-group randomization tests
AbstractWe outline a novel approach to calculate exact p-levels for two-sample randomization tests. The approach closely resembles permute in its applications, with the main diﬀerence being that the results are approximated only if the execution time needed to calculate exact p-levels would exceed a speciﬁed maximum. We demonstrate its use by deriving p-levels for the signiﬁcance of Somers’ D, the coefficient of variation, the diﬀerence in means and in medians, and the difference in two multinomials. Copyright 2009 by StataCorp LP.
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Bibliographic InfoArticle provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 9 (2009)
Issue (Month): 1 (March)
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Web page: http://www.stata-journal.com/
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- Cheung, Stephen L. & Hedegaard, Morten & Palan, Stefan, 2012.
"To See Is To Believe: Common Expectations In Experimental Asset Market s,"
2012-10, University of Sydney, School of Economics.
- Cheung, Stephen L. & Hedegaard, Morten & Palan, Stefan, 2012. "To See Is To Believe: Common Expectations in Experimental Asset Markets," IZA Discussion Papers 6922, Institute for the Study of Labor (IZA).
- Daniele Nosenzo & Theo Offerman & Martin Sefton & Ailko van der Veen, 2012. "Discretionary Sanctions and Reward in the Repeated Inspection Game," Discussion Papers 2012-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
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