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From | "Yaseen Ghulam" <Yaseen.Ghulam@port.ac.uk> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | st: Bootstrapping Malmquist Poductivity Index |
Date | Fri, 30 Nov 2012 13:03:55 +0000 |
Dear Stata Users, I have a question and shall appreciate if someone could answer this. I have calculated malmquist productivity index using DEA. I want to bootstrap the index in Stata. I have unbalanced panel (14 firms and 26 years). I have seen a general command like webuse auto bootstrap r(p50), reps(1000) seed(1234): summarize mpg, detail I believe above command calculates standard error for median or mean by using 1000 replications. I am interested in calculating standard error of geometric mean by taking into account panel structure of the data (which above command probably does not) and then test whether geometric mean is significantly different than unity or not. Thanks in advance. Yaseen Ghulam University of Portsmouth UK * * 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/