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SUMDIST: Stata module to calculate summary statistics for income distributions

Author

Listed:
  • Stephen P. Jenkins

    (University of Essex)

Programming Language

Stata

Abstract

sumdist estimates distributional summary statistics commonly used by income distribution analysts, complementing those available via pctile, xtile, and summarize, detail. For variable x and distribution function F(x), the statistics are (1) quantiles k=1,2,...,m-1, for m = # quantile groups; (2) the quantiles expressed as a percentage of median(x); (3) the quantile group share of x in total x (group income share, %); (4) the cumulative quantile group shares of total x (with cumulation in ascending order of x), i.e. the Lorenz ordinates L(p) at each p_k = F(x_k) for quantile points x_k; and (5) the generalised Lorenz ordinates at each p_k = F(x_k), i.e. GL(p_k) = mean(x)*L(p_k). See also svylorenz.

Suggested Citation

  • Stephen P. Jenkins, 1999. "SUMDIST: Stata module to calculate summary statistics for income distributions," Statistical Software Components S366005, Boston College Department of Economics, revised 15 Feb 2021.
    • Handle: RePEc:boc:bocode:s366005
    Note: This module may be installed from within Stata 8 by typing "ssc install sumdist". 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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    Download full text from publisher

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

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    Cited by:

    1. Markus Jäntti & Stephen Jenkins, 2010. "The impact of macroeconomic conditions on income inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 221-240, June.

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