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ENTROPYETC: Stata module for entropy and related measures for categories

Nicholas Cox ()

Statistical Software Components from Boston College Department of Economics

Abstract: entropyetc treats a single supplied variable, numeric or string, as categorical, so that distinct values define distinct categories, and calculates Shannon entropy H, exp H, Simpson's sum of squared probabilities R, 1/R, and the dissimilarity index D. Results are displayed and saved as a matrix. Optionally, new variables may be generated containing results.

Language: Stata
Requires: Stata version 11.2
Keywords: inequality; diversity; concentration; entropy; Shannon; Simpson; Gini; Herfindahl; Hirschman; Turing (search for similar items in EconPapers)
Date: 2016-11-20, Revised 2021-07-04
Note: This module should be installed from within Stata by typing "ssc install entropyetc". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/e/entropyetc.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/e/entropyetc.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458272

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Handle: RePEc:boc:bocode:s458272