Running at : /home/vegayon/Dropbox/repos/parallelĮnter -parallel printlog #- to checkout logfiles.
parallel bs, reps(5000): reg price c.weig#c.weigh foreign rep parallel: A command for parallel computing. When using parallel, please include the following: Other resources include the Stata 2017 conference presentation and the SSC page at Boston College (though the SSC version is a bit out-of-date, see below). See the HTML version of the program help file for more info. With no need of having Stata/MP installed on your computer, parallel has showed to dramatically speedup computations up to two, four, or more times depending on how many processors your computer has. without having to know a thing about parallel computing. Using the the parallel prefix, you can get faster simulations, bootstrapping, reshaping big data, etc. By organizing your job in several Stata instances, parallel allows you to work with out-of-the-box parallel computing. Parallel lets you run Stata faster, sometimes faster than MP itself.
PARALLEL: Stata module for parallel computing
#Bootstrap stata download#
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#Bootstrap stata how to#
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#Bootstrap stata series#
This program uses a procedure described in Cameron, Gelbach, & Miller (2008) wherein the null distribution of the t-statistic is estimated by running the model in a series of bootstrap samples, where the data is sampled with replacement by cluster for each bootstrap iteration. Clusterbs performs a pairs symmetric cluster bootstrap-t procedure for estimating the statistical significance of relationships when the data is clustered with a small number of clusters.
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