HUTCHENS: Stata module to calculate the Hutchens `square root' segregation index with optional decompositions by subgroup

Stephen Jenkins

Statistical Software Components from Boston College Department of Economics

Abstract: hutchens computes the `square root' segregation index proposed by Hutchens (International Economic Review, 2004) from individual-level data. Hutchens shows that this index, call it S, satisfies seven desirable properties for a good numerical measure of segregation. In particular, S is additively decomposable by population subgroup: total segregation may be expressed as the sum of within-group segregation (a weighted sum of S across subgroups) plus between-group segregation. S lies on the unit interval, with zero representing the complete absence of segregation, and one representing complete segregation. If two distributions are unambiguously ordered according to a pair of (non-intersecting) segregation curves, then S will also order the distributions in the same way.

Language: Stata
Requires: Stata version 8.2
Keywords: segregation; square root index; Hutchens; inequality (search for similar items in EconPapers)
Date: 2006-01-25
Note: This module should be installed from within Stata 8 by typing "ssc install hutchens". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/h/hutchens.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/hutchens.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s456601

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().