XFRAC: Stata module to produce tabulation using categories defined by fractions of a cut-off value

Stephen Jenkins

Statistical Software Components from Boston College Department of Economics

Abstract: xfrac provides a specialized tabulation (a 'wrapper' for -tabulate-). Each valid observation is first partitioned by varname into one of a set of 20 mutually-exclusive categories, the boundaries of which are defined by 'hard-wired' fractions of a user-specified cut-off value (in the same units as varname), with fractions ranging from 0.1 through to 3.0. This classification is then tabulated and, optionally, can be retained as a new variable. In effect xfrac provides a discrete representation of the distribution function for varname. Example: let varname be a measure of income and the cut-off be mean income. xfrac shows the proportion of observations with income less than 10% of mean income, between 10% and 20% of mean income, between 20% and 30% of mean income, and so on (20 categories). Cumulative proportions are also shown.

Language: Stata
Requires: Stata version 5.0
Keywords: inequality; tabulation; descriptive statistics; income distribution (search for similar items in EconPapers)
Date: 1999-01-12
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/x/xfrac.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xfrac.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:s366006

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 ().