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

Author

Listed:
  • Stephen P. Jenkins

    (London School of Economics and Political Science)

Programming Language

Stata

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.

Suggested Citation

  • Stephen P. Jenkins, 2019. "INEQORD: Stata module to calculate indices of inequality and polarization for ordinal data," Statistical Software Components S458723, Boston College Department of Economics, revised 16 Mar 2023.
    • Handle: RePEc:boc:bocode:s458723
    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.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/i/ineqord.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/i/ineqord.sthlp
    File Function: help file
    Download Restriction: no
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