The full Anaconda installation is quite large, and includes many libraries for Python thatstata_kernel doesn't use. If you don't plan to use Python and want to useless disk space, install Miniconda, a bare-bones version of Anaconda. Then when installing the package any other necessary dependencies will bedownloaded automatically.
Stata 12 (Windows, all versions) - FULL INSTALLf
(.) Other than the dated 'hdfe' command, I do not know of a statacommand that residualizes variables from a set of fixed effects. The'hdfe' command, as far as I can tell, morphed into the 'reghdfe'package; the latter, however, is a fully-functioning regression command,while 'gstats hdfe' only residualizes a set of variables.
This post is hopefully the last in a series of posts outlining how to use Stata in a proper dynamic document/reproducible research setting. As of the summer of 2020, I am only using stata_kernel for my own work and no longer recommend using my customized ob-ipython.el for reasons described here. This method allows users to create dynamic documents using either
The stata_kernel needs a proper python installation with Jupyter installed. My preferred method of doing this is to use Anaconda Python along with several python libraries. The stata_kernel install page provides full instructions for installing Anaconda python and all packages necessary for getting this running (note: the mechanics of doing this is outlined below).
One notable "gotcha" that continues to be a bit bothersome is that state_kernel uses the console version (on linux) of stata which is fully functional with one exception: stata cannot output png files when displaying or exporting graphics. stata_kernel sidesteps this by producing svg graphics along with pdf graphics files for each figure displayed in the notebook. This causes some difficulties that vary depending on what we are looking for (showing figures inline in emacs, exporting to html, or exporting to pdf). I gather that these issues aren't relevant for Windows (not sure about MAC).
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