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INEQFAC: Stata module to calculate inequality decomposition by factor components

Author

Listed:
  • Stephen P. Jenkins

    (London School of Economics)

Programming Language

Stata

Abstract

ineqfac provides an exact decomposition of the inequality of total income into inequality contributions from each of the factor components of total income. ineqfac was designed as a tool for income distribution analysis in the case where the current sample contains observations on income components for each of a set of income receiving units (e.g. families, households, persons). In this case, facvars might include labour income, income from investments and pensions, cash transfers, etc. See Shorrocks (1982b) and Jenkins (1995) for examples. ineqfac may also be applied to summarise and compare the riskiness of portfolios of wealth holdings: s_f, the "proportionate contribution of factor f to total inequality", has exactly the same form as the "beta coefficient" used in finance analysis.

Suggested Citation

  • Stephen P. Jenkins, 1999. "INEQFAC: Stata module to calculate inequality decomposition by factor components," Statistical Software Components S366003, Boston College Department of Economics, revised 06 Feb 2021.
    • Handle: RePEc:boc:bocode:s366003
    Note: This module may be installed from within Stata by typing "ssc install ineqfac". 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/i/ineqfac.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/i/ineqfac.hlp
    File Function: help file
    Download Restriction: no
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    Citations

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    Cited by:

    1. Lawrence Dacuycuy, 2006. "Explaining male wage inequality in the Philippines: non-parametric and semiparametric approaches," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2497-2511.

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