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Estimating Lorenz and concentration curves in Stata

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  • Ben Jann

Abstract

Lorenz and concentration curves are widely used tools in inequality research. In this paper I present a new Stata command called -lorenz- that estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. The -lorenz- command supports relative as well as generalized, absolute, unnormalized, or custom-normalized Lorenz or concentration curves, and provides tools for computing contrasts between different subpopulations or outcome variables. Variance estimation for complex samples is fully supported.

Suggested Citation

  • Ben Jann, 2016. "Estimating Lorenz and concentration curves in Stata," University of Bern Social Sciences Working Papers 15, University of Bern, Department of Social Sciences, revised 27 Oct 2016.
    • Handle: RePEc:bss:wpaper:15
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    File URL: https://boris.unibe.ch/81525/8/jann-2016-lorenz.pdf
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    References listed on IDEAS

    as
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    7. Philippe Van Kerm & Stephen P. Jenkins, 2001. "Generalized Lorenz curves and related graphs: an update for Stata 7," Stata Journal, StataCorp LP, vol. 1(1), pages 107-112, November.
    8. Bishop, John A & Chow, K Victor & Formby, John P, 1994. "Testing for Marginal Changes in Income Distributions with Lorenz and Concentration Curves," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(2), pages 479-488, May.
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    More about this item

    Keywords

    Stata; Lorenz curve; concentration curve; inequality; income distribution; wealth distribution; graphics; survey estimation;
    All these keywords.

    JEL classification:

    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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