Assessing inequality using percentile shares

Ben Jann

No 13, University of Bern Social Sciences Working Papers from University of Bern, Department of Social Sciences

Abstract: At least since Thomas Piketty's best-selling "Capital in the Twenty-First Century" (2014, Cambridge, MA: The Belknap Press), percentile shares have become a popular approach for analyzing distributional inequalities. In their work on the development of top incomes, Piketty and collaborators typically report top-percentage shares, using varying percentages as thresholds (top 10%, top 1%, top 0.1%, etc.). However, analysis of percentile shares at other positions in the distribution may also be of interest. In this paper I present a new Stata command called -pshare- that estimates percentile shares from individual-level data and displays the results using histograms or stacked bar charts. A shorter version of this paper has been published in The Stata Journal 16(2): 264-300 (see: http://www.stata-journal.com/article.html?article=st0432).

Keywords: Stata; pshare; percentile shares; Lorenz curve; concentration curve; inequality; income distribution; wealth distribution; graphics (search for similar items in EconPapers)
JEL-codes: C87 D31 D63 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2015-08-12, Revised 2016-10-27
New Economics Papers: this item is included in nep-his
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Citations: View citations in EconPapers (13)

Downloads: (external link)
https://boris.unibe.ch/81523/8/jann-2015-pshare.pdf Revised version, 2015 (application/pdf)
https://www.stata-journal.com/article.html?article=st0432 Published version, 2016 (text/html)

Related works:
Journal Article: Assessing inequality using percentile shares (2016)
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