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INEQFAC: Stata module to calculate inequality decomposition by factor components

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Author Info
Stephen P. Jenkins () (University of Essex)

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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.

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File URL: http://fmwww.bc.edu/repec/bocode/i/ineqfac.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/i/ineqfac.hlp
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File Function: help file
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S366003.

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Programming language: Stata
Requires: Stata version 8.2
Date of creation: 12 Jan 1999
Date of revision: 31 Mar 2009
Handle: RePEc:boc:bocode:s366003

Note: This module may be installed from within Stata by typing "ssc install ineqfac". Windows users should not attempt to download these files with a web browser.
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Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
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Web page: http://fmwww.bc.edu/EC/
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Related research
Keywords: inequality; factor analysis; decomposition;

This paper has been announced in the following NEP Reports:

Cited by:
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  1. Lawrence Dacuycuy, 2006. "Explaining male wage inequality in the Philippines: non-parametric and semiparametric approaches," Applied Economics, Taylor and Francis Journals, vol. 38(21), pages 2497-2511, December. [Downloadable!] (restricted)
Statistics
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This page was last updated on 2009-12-10.

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