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Estimating Lorenz and concentration curves


  • Ben Jann

    () (University of Bern)


Lorenz and concentration curves are widely used tools in inequality research. In this article, I present a new command, lorenz, that estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. The lorenz command supports relative, generalized, absolute, unnormalized, custom-normalized Lorenz, and concentration curves. It also pro- vides tools for computing contrasts between different subpopulations or outcome variables. lorenz fully supports variance estimation for complex samples. Copyright 2016 by StataCorp LP.

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  • Ben Jann, 2016. "Estimating Lorenz and concentration curves," Stata Journal, StataCorp LP, vol. 16(4), pages 837-866, December.
  • Handle: RePEc:tsj:stataj:v:16:y:2016:i:4:p:837-866
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    References listed on IDEAS

    1. Patrick Royston & Friederike M.-S. Barthel, 2010. "Projection of power and events in clinical trials with a time-to-event outcome," Stata Journal, StataCorp LP, vol. 10(3), pages 386-394, September.
    2. Patrick Royston & John B. Carlin & Ian R. White, 2009. "Multiple imputation of missing values: New features for mim," Stata Journal, StataCorp LP, vol. 9(2), pages 252-264, June.
    3. Patrick Royston & Willi Sauerbrei, 2007. "Multivariable modeling with cubic regression splines: A principled approach," Stata Journal, StataCorp LP, vol. 7(1), pages 45-70, February.
    4. Friederike Maria-Sophie Barthel & Patrick Royston, 2006. "Graphical representation of interactions," Stata Journal, StataCorp LP, vol. 6(3), pages 348-363, September.
    5. Patrick Royston & Nicholas J. Cox, 2005. "A multivariable scatterplot smoother," Stata Journal, StataCorp LP, vol. 5(3), pages 405-412, September.
    6. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LP, number fpsaus, December.
    7. Patrick Royston & Abdel Babiker, 2002. "A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome," Stata Journal, StataCorp LP, vol. 2(2), pages 151-163, May.
    8. John B. Carlin & John C. Galati & Patrick Royston, 2008. "A new framework for managing and analyzing multiply imputed data in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 49-67, February.
    9. David W.Hosmer & Patrick Royston, 2002. "Using Aalen's linear hazards model to investigate time-varying effects in the proportional hazards regression model," Stata Journal, StataCorp LP, vol. 2(4), pages 331-350, November.
    10. Friederike M.-S. Barthel & Patrick Royston & Abdel Babiker, 2005. "A menu-driven facility for complex sample size calculation in randomized controlled trials with a survival or a binary outcome: Update," Stata Journal, StataCorp LP, vol. 5(1), pages 123-129, March.
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    Cited by:

    1. repec:eee:enepol:v:106:y:2017:i:c:p:255-265 is not listed on IDEAS
    2. Engelhardt, Carina & Wagener, Andreas, 2017. "The income distribution of voters: a case study from Germany," Hannover Economic Papers (HEP) dp-586, Leibniz Universit├Ąt Hannover, Wirtschaftswissenschaftliche Fakult├Ąt.


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