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GLCURVE: Stata module to derive generalised Lorenz curve ordinates

Author

Listed:
  • Stephen P. Jenkins

    () (London School of Economics)

  • Philippe Van Kerm

    () (University of Namur)

Abstract

Given variable varname, call it x with c.d.f. F(x), glcurve either draws its Generalised Lorenz curve or generates two new variables containing the Generalised Lorenz ordinates for x, i.e. GL(p) at each p = F(x) (or both). For a population ordered in ascending order of x, a graph of GL(p) against p plots the cumulative total of x divided by population size, against cumulative population share. GL(1) = mean(x). glcurve can also be used to derive many other related concepts such as concentration curves and 'Three Is of Poverty' (TIP) curves, with appropriate definition of varname, order of cumulation (set with sortvar option), and normalisation (e.g. by the mean of varname). For example, the 'ordinary' Lorenz curve L(p) = GL(p)/mean(x). Users of this routine for Stata 5 or 6 should use glcurve5; users of Stata 7 should use glcurve7.

Suggested Citation

  • Stephen P. Jenkins & Philippe Van Kerm, 2004. "GLCURVE: Stata module to derive generalised Lorenz curve ordinates," Statistical Software Components S366302, Boston College Department of Economics, revised 24 Jun 2008.
  • Handle: RePEc:boc:bocode:s366302
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    More about this item

    Keywords

    Lorenz curve; income distribution; inequality;

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