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.
References: Add references at CitEc
Citations: Track citations by RSS feed

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)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().