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From | Maarten buis <maartenbuis@yahoo.co.uk> |
To | statalist@hsphsun2.harvard.edu |
Subject | re: st: Fw: Multiple One-Tailed Tests |
Date | Wed, 7 Jul 2010 16:30:51 +0000 (GMT) |
--- On Wed, 7/7/10, Bea Potter asked: > > Given the following regression, > > > > y = b0 + b1 x1 + b2 x2 + u > > > > we want to test whether we can reject b1>0 and > > b2<0. --- On Wed, 7/7/10, Airey, David C answered: > The joint test is the F statistic for the model, since b1 > and b2 are the only coefficients. So isn't it just alpha/2? If I remember correctly the alpha/2 trick works because the distribution of the test statistic (t distribution or normal distribution) is symetric. This is not the case for the F-distribution. I had a look at this issue a while back, and it turned out not to be an easy problem. I'd love to be proven wrong though. -- Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/