INEQORD: Stata module to calculate indices of inequality and polarization for ordinal data

Stephen Jenkins

Statistical Software Components from Boston College Department of Economics

Abstract: ineqord calculates indices of inequality and polarization for ordinal data recorded in the response variable: the Allison-Foster index, the normalized Average Jump index, multiple Apouey indices (parameters 0.5, 1, and 2), multiple Abul Naga-Yalcin indices (parameters (a,b) = (1,1), (2,1), (1,2), (4,1) and (1,4)), multiple Cowell-Flachaire indices (for peer-inclusive downward and upward-looking status; parameter alpha = 0, 0.25, 0.5, 0.75 and, optionally, another alpha value between 0 and 1), the Jenkins index, and also the standard deviation. Optionally, ineqord also derives estimates of cumulative distribution functions, survivor functions, and the ordinates of Generalized Lorenz curves for status, and H+ and H- curves. These estimates can be used to describe ordinal data distributions and to undertake dominance checks of differences between distributions.

Language: Stata
Requires: Stata version 14
Keywords: inequality; polarization; ordinal data; indices; survivor functions; Generalized Lorenz curves; H+ and H- curves (search for similar items in EconPapers)
Date: 2019-12-14, Revised 2023-03-16
Note: This module should be installed from within Stata by typing "ssc inst ineqord". 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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http://fmwww.bc.edu/repec/bocode/i/ineqord.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ineqord.sthlp help file (text/plain)

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