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From | "Santos Silva, J.M.C." <jmcss@essex.ac.uk> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | RE: Re: RE: st: Beta values in QREG |
Date | Tue, 25 Jun 2013 09:57:54 +0100 |
Dear Maarten, Apologies if I misread you but your reply shows that we have somewhat different views about this; my points were: a) you may want to use quantile regression for reasons that have nothing to do with avoiding using moments. b) for the beta coefficients you need to change the scale of the regressors and that has noting to do with moments of the dependent variable. Anyway, I totally agree with you on the idea that not everything you can technically do makes substantive sense. Joao > I did not say that you would use quantile regression when the moments > do not exist, I only said that you would use quantile regression when > you wanted to avoid using the moments. Particular in skewed > distributions there are good reasons for prefering percentiles over > moments, even if the moments exist. In that case it is weird to use a > technique whose purpose is to avoid those moments, and than use them > again to define the scale of your dependent variable... I made an > argument in the style "Not everything you can technically do makes > substantive sense". > > -- Maarten * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/