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SVYLORENZ: Stata module to derive distribution-free variance estimates from complex survey data, of quantile group shares of a total, cumulative quantile group shares

Author

Listed:
  • Stephen P. Jenkins

    (London School of Economics and Political Science)

Programming Language

Stata

Abstract

svylorenz computes distribution-free variance estimates for quantile group shares of a total, cumulative quantile group shares, and the Gini coefficient, when estimated from complex survey data. Note that the Gini coefficient is calculated using all observations; it is not derived by approximation from the income shares. svylorenz may also be used to draw Lorenz curves (but see also glcurve).

Suggested Citation

  • Stephen P. Jenkins, 2006. "SVYLORENZ: Stata module to derive distribution-free variance estimates from complex survey data, of quantile group shares of a total, cumulative quantile group shares," Statistical Software Components S456602, Boston College Department of Economics, revised 15 Sep 2015.
    • Handle: RePEc:boc:bocode:s456602
    Note: This module should be installed from within Stata 8 by typing "ssc install svylorenz". 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/svylorenz.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/svylorenz.hlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. P. Jenkins, Stephen & V. Burkhauser, Richard & Feng, Shuaizhang & Larrimore, Jeff, 2009. "Measuring inequality using censored data: a multiple imputation approach," ISER Working Paper Series 2009-04, Institute for Social and Economic Research.

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