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RICHNESS: Stata module to compute measures of income richness

Author

Listed:
  • Andreas Peichl

    (Cologne Center for Public Economics)

  • Thilo Schaefer

    (Cologne Center for Public Economics)

Programming Language

Stata

Abstract

richness computes the following richness measures based on the (income) distribution for each variable specified: headcount ratio and PSS (a series of Peichl, Schaefer and Scheicher (2006) indices)

Suggested Citation

  • Andreas Peichl & Thilo Schaefer, 2006. "RICHNESS: Stata module to compute measures of income richness," Statistical Software Components S456778, Boston College Department of Economics, revised 18 Nov 2008.
    • Handle: RePEc:boc:bocode:s456778
    Note: This module should be installed from within Stata by typing "ssc install richness". 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.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/richness.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/richness.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/richness_example.do
    File Function: sample program
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/richness.pdf
    File Function: documentation
    Download Restriction: no
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    Citations

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    Cited by:

    1. Michal Brzezinski, 2010. "Income Affluence in Poland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 99(2), pages 285-299, November.
    2. Chameni Nembua, Célestin & Biloa Essimi, Jean Aristide, 2013. "Who is Rich in Cameroun? [Who is Rich in Cameroon?]," MPRA Paper 48024, University Library of Munich, Germany.
    3. BILOA ESSIMI, Jean Aristide & CHAMENI NEMBUA, Celestin, 2013. "Estimation D’Une Ligne D’Affluence : Cas Du Cameroun [Affluence Line Estimation: Case Of Cameroon]," MPRA Paper 48095, University Library of Munich, Germany.

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